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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Results</title>
<!-- JQuery -->
<script src="https://code.jquery.com/jquery-3.2.1.min.js" integrity="sha256-hwg4gsxgFZhOsEEamdOYGBf13FyQuiTwlAQgxVSNgt4=" crossorigin="anonymous"></script>
<!-- Latest compiled and minified CSS -->
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u" crossorigin="anonymous">
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap-theme.min.css" integrity="sha384-rHyoN1iRsVXV4nD0JutlnGaslCJuC7uwjduW9SVrLvRYooPp2bWYgmgJQIXwl/Sp" crossorigin="anonymous">
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/9.10.0/styles/default.min.css">
<link rel="stylesheet" href="https://cdn.datatables.net/1.10.16/css/dataTables.bootstrap.min.css">
<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/9.10.0/highlight.min.js"></script>
<script type="text/javascript" src="http://code.highcharts.com/4.0.4/highcharts.js"></script>
<script type="text/javascript" src="http://code.highcharts.com/4.0.4/modules/exporting.js"></script>
<script type="text/javascript" src="http://code.highcharts.com/4.0.4/highcharts-more.js"></script>
<script type="text/javascript" src="https://cdn.datatables.net/1.10.16/js/jquery.dataTables.min.js"></script>
<script>
$.fn.extend({
treed: function (o) {
var openedClass = 'glyphicon-minus-sign';
var closedClass = 'glyphicon-plus-sign';
if (typeof o != 'undefined'){
if (typeof o.openedClass != 'undefined'){
openedClass = o.openedClass;
}
if (typeof o.closedClass != 'undefined'){
closedClass = o.closedClass;
}
};
//initialize each of the top levels
var tree = $(this);
tree.addClass("tree");
tree.find('li').has("ul").each(function () {
var branch = $(this); //li with children ul
branch.prepend("<i class='indicator glyphicon " + closedClass + "'></i>");
branch.addClass('branch');
branch.on('click', function (e) {
if (this == e.target) {
var icon = $(this).children('i:first');
icon.toggleClass(openedClass + " " + closedClass);
$(this).children().children().toggle();
}
})
branch.children().children().toggle();
});
//fire event from the dynamically added icon
tree.find('.branch .indicator').each(function(){
$(this).on('click', function () {
$(this).closest('li').click();
});
});
//fire event to open branch if the li contains an anchor instead of text
tree.find('.branch>a').each(function () {
$(this).on('click', function (e) {
$(this).closest('li').click();
e.preventDefault();
});
});
//fire event to open branch if the li contains a button instead of text
tree.find('.branch>button').each(function () {
$(this).on('click', function (e) {
$(this).closest('li').click();
e.preventDefault();
});
});
}
});
</script>
<script>
$('#tree .branch').each(function(){
var icon = $(this).children('i:first');
icon.addClass('glyphicon-minus-sign').removeClass('glyphicon-plus-sign');
$(this).children().children().show();
});
</script>
<style>
.tree, .tree ul {
margin:0;
padding:0;
list-style:none
}
.tree ul {
margin-left:1em;
position:relative
}
.tree ul ul {
margin-left:.5em
}
.tree ul:before {
content:"";
display:block;
width:0;
position:absolute;
top:0;
bottom:0;
left:0;
border-left:1px solid
}
.tree li {
margin:0;
padding:0 1em;
line-height:2em;
color:#369;
font-weight:700;
position:relative
}
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content:"";
display:block;
width:10px;
height:0;
border-top:1px solid;
margin-top:-1px;
position:absolute;
top:1em;
left:0
}
.tree ul li:last-child:before {
background:#fff;
height:auto;
top:1em;
bottom:0
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color:#369;
border:none;
background:transparent;
margin:0px 0px 0px 0px;
padding:0px 0px 0px 0px;
outline: 0;
}
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---- */
#results pre{
max-height: 500px;
height: 500px;
overflow-y: scroll;
overflow-x: auto;
}
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html {
position: relative;
min-height: 100%;
}
body {
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margin-bottom: 60px;
}
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position: absolute;
bottom: 0;
width: 100%;
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height: 60px;
background-color: #f5f5f5;
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<div class="navbar-header">
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<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<a class="navbar-brand" href="#">Results for result</a>
</div>
<div id="navbar" class="collapse navbar-collapse">
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<li><button data-toggle="collapse" data-target="#results" type="button" class="btn navbar-btn">Show Raw</button></li>
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</div>
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<div class="row">
<div class="col-md-12">
<div id="results" class="collapse">
<pre><code class="xml">
<result>
<LoadData
file="C:\Users\A175606\workspace\commander\runs\demos\overfitting\10.LoadData.xml">
<data>
<output url="memory:k1"/>
</data>
<sql>
<table>datalabin.fond_inv_up_genericos_training</table>
<label>label</label>
<columns>
<include_only>
label,posee_deposito_plazo,posee_fondos_inversion,saldofinal_pasivo_titprinc,numero_lineas_productos,comisiones_todas_titularidades_interanual,margen_financiero_titularidad_principal_interanual,margen_ordinario_tp,saldo_medio_mensual_total_pasivo_minimo,saldo_medio_mensual_total_pasivo_maximo,saldo_medio_mensual_total_pasivo_desvtipica,saldo_medio_mensual_total_pasivo_tendabsoluta12m,importe_lcp,nu_ctrahorrplz_mt,im_saldmensufondinver_mt,im_saldmedmensutotpasv_mt,im_saldmedmensuahorrvis_mt,im_reembfondinvermes_mt,im_totcomismes_mt,codigo_segmento_interno,in_tenacctabk_mt
</include_only>
</columns>
</sql>
<result>
<columns_ordered>
[(label,int),(codigo_segmento_interno,int),(posee_deposito_plazo,int),(posee_fondos_inversion,int),(saldofinal_pasivo_titprinc,bigint),(numero_lineas_productos,int),(comisiones_todas_titularidades_interanual,bigint),(margen_financiero_titularidad_principal_interanual,bigint),(margen_ordinario_tp,bigint),(saldo_medio_mensual_total_pasivo_minimo,decimal(15,2)),(saldo_medio_mensual_total_pasivo_maximo,decimal(15,2)),(saldo_medio_mensual_total_pasivo_desvtipica,decimal(15,4)),(saldo_medio_mensual_total_pasivo_tendabsoluta12m,decimal(15,2)),(importe_lcp,bigint),(in_tenacctabk_mt,int),(nu_ctrahorrplz_mt,int),(im_saldmensufondinver_mt,decimal(15,2)),(im_saldmedmensutotpasv_mt,decimal(15,2)),(im_saldmedmensuahorrvis_mt,decimal(15,2)),(im_reembfondinvermes_mt,decimal(15,2)),(im_totcomismes_mt,decimal(15,2))]
</columns_ordered>
</result>
</LoadData>
<PrepareData
file="C:\Users\A175606\workspace\commander\runs\demos\overfitting\20.ProcessData.xml">
<data>
<input
url="lcsv:/Users/A175606/workspace/commander/runs/demos/overfitting//data.csv">
</input>
<output url="hdfs:/user/A175606/test_overfitting/temp.dat"/>
</data>
<transformations>
<remove_outliers force_checkpoint="false">
<columns>all</columns>
<times>3.0</times>
<max_percentage_of_outliers>0.05</max_percentage_of_outliers>
<params>
<columns>
saldofinal_pasivo_titprinc;saldo_medio_mensual_total_pasivo_desvtipica;saldo_medio_mensual_total_pasivo_tendabsoluta12m
</columns>
<lines_removed> 181 </lines_removed>
</params>
</remove_outliers>
<discretize force_checkpoint="false">
<limit>50</limit>
<nCategories>5</nCategories>
<discretizacion>
<antes>
<schema>
<column name="codigo_segmento_interno" dataType="double" nullable="true">
<![CDATA[{"dif_values":7}]]>
</column>
<column name="posee_deposito_plazo" dataType="double" nullable="true">
<![CDATA[{"dif_values":2}]]>
</column>
<column name="posee_fondos_inversion" dataType="double" nullable="true">
<![CDATA[{"dif_values":2}]]>
</column>
<column name="saldofinal_pasivo_titprinc" dataType="double" nullable="true">
<![CDATA[{"outliers_std_multiplier":3.0,"dif_values":177178}]]>
</column>
<column name="numero_lineas_productos" dataType="double" nullable="true">
<![CDATA[{"dif_values":23}]]>
</column>
<column
name="comisiones_todas_titularidades_interanual" dataType="double" nullable="true">
<![CDATA[{"dif_values":59391}]]>
</column>
<column
name="margen_financiero_titularidad_principal_interanual" dataType="double" nullable="true">
<![CDATA[{"dif_values":78048}]]>
</column>
<column name="margen_ordinario_tp" dataType="double" nullable="true">
<![CDATA[{"dif_values":90535}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_minimo" dataType="double" nullable="true">
<![CDATA[{"dif_values":159561}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_maximo" dataType="double" nullable="true">
<![CDATA[{"dif_values":181541}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_desvtipica" dataType="double" nullable="true">
<![CDATA[{"outliers_std_multiplier":3.0,"dif_values":195077}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_tendabsoluta12m" dataType="double" nullable="true">
<![CDATA[{"outliers_std_multiplier":3.0,"dif_values":155839}]]>
</column>
<column name="importe_lcp" dataType="double" nullable="true">
<![CDATA[{"dif_values":829}]]>
</column>
<column name="in_tenacctabk_mt" dataType="double" nullable="true">
<![CDATA[{"dif_values":3}]]>
</column>
<column name="nu_ctrahorrplz_mt" dataType="double" nullable="true">
<![CDATA[{"dif_values":20}]]>
</column>
<column name="im_saldmensufondinver_mt" dataType="double" nullable="true">
<![CDATA[{"dif_values":34010}]]>
</column>
<column name="im_saldmedmensutotpasv_mt" dataType="double" nullable="true">
<![CDATA[{"dif_values":183152}]]>
</column>
<column name="im_saldmedmensuahorrvis_mt" dataType="double" nullable="true">
<![CDATA[{"dif_values":174430}]]>
</column>
<column name="im_reembfondinvermes_mt" dataType="double" nullable="true">
<![CDATA[{"dif_values":5224}]]>
</column>
<column name="im_totcomismes_mt" dataType="double" nullable="true">
<![CDATA[{"dif_values":12897}]]>
</column>
</schema>
</antes>
<despues>
<schema>
<column name="codigo_segmento_interno" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":7}}]]>
</column>
<column name="posee_deposito_plazo" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":2}}]]>
</column>
<column name="posee_fondos_inversion" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":2}}]]>
</column>
<column name="saldofinal_pasivo_titprinc" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 51273.0, 436807.0, 3198280.0, Infinity)"},"outliers_std_multiplier":3.0}]]>
</column>
<column name="numero_lineas_productos" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":23}}]]>
</column>
<column
name="comisiones_todas_titularidades_interanual" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 60.0, 2516.0, 6924.0, 20216.0, Infinity)"}}]]>
</column>
<column
name="margen_financiero_titularidad_principal_interanual" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, -107.0, -1.0, 0.0, 4542.0, Infinity)"}}]]>
</column>
<column name="margen_ordinario_tp" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 241.0, 5283.0, 16144.0, 48124.0, Infinity)"}}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_minimo" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 83.48, 2051.88, 23263.63, Infinity)"}}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_maximo" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 797.68, 5862.3, 35077.64, Infinity)"}}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_desvtipica" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 129.0499, 611.3116, 2260.0956, Infinity)"},"outliers_std_multiplier":3.0}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_tendabsoluta12m" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, -411.77, -0.01, 0.76, 1539.18, Infinity)"},"outliers_std_multiplier":3.0}]]>
</column>
<column name="importe_lcp" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 300.0, 1600.0, 4000.0, Infinity)"}}]]>
</column>
<column name="in_tenacctabk_mt" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":3}}]]>
</column>
<column name="nu_ctrahorrplz_mt" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":20}}]]>
</column>
<column name="im_saldmensufondinver_mt" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 33.12, 33.3, 48.38, Infinity)"}}]]>
</column>
<column name="im_saldmedmensutotpasv_mt" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 512.15, 5315.03, 42695.53, Infinity)"}}]]>
</column>
<column name="im_saldmedmensuahorrvis_mt" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 378.74, 2717.8, 12249.2, Infinity)"}}]]>
</column>
<column name="im_reembfondinvermes_mt" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 3.09, 3.5, 4.37, Infinity)"}}]]>
</column>
<column name="im_totcomismes_mt" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 0.01, 0.21, 6.88, Infinity)"}}]]>
</column>
</schema>
</despues>
</discretizacion>
</discretize>
<onehot force_checkpoint="false">
<binary>true</binary>
<columns>
cod_sexo,cod_estado_civil,segmento_valor,segmento_actividad,segmento_socioeconomico,segmento_por_relacion,segmento_marketing,clasificacion_nivel_renta,codigo_segmento_interno,IN_TenAcctaBK_MT,IN_TenFondInver_MT,IN_TenPlanPens_MT
</columns>
<result>
<params>
<labels>
List(codigo_segmento_interno-&gt;1.0,4.0,6.0,3.0,0.0,2.0,5.0, in_tenacctabk_mt-&gt;0.0,2.0,1.0)
</labels>
<dimensions>
ArrayBuffer(codigo_segmento_interno-&gt;3, in_tenacctabk_mt-&gt;2)
</dimensions>
</params>
</result>
</onehot>
<standarize force_checkpoint="false">
<withMean>true</withMean>
<withSTD>true</withSTD>
<standarize>
<params>
<mean>
List(0.2031163305055236, 0.15391856367163734, 2.1684861842936094, 6.315872851878687, 1.972311189172443, 2.553768563480313, 1.9886198834437105, 2.1198203058932727, 2.1770882360819175, 2.1808382408651377, 2.09904604470158, 2.2499148595852643, 0.2630360497908782, 1.4033857186042198, 2.16672215143133, 2.169370113992486, 1.084929955267802, 2.0728113173613596, 0.40877730711391214, 0.2242885513884584, 0.13402440564337453, 0.07433045195210708, 0.023349519578468852)
</mean>
<std>
List(0.40231915956517844, 0.36087135900690254, 1.195194922846945, 3.341067636556047, 1.416624580575253, 1.3711749596111389, 1.4117439455188436, 1.2486673697230544, 1.17037958243918, 1.1565649170121768, 1.3707961678370848, 1.133796434255044, 0.7181331813562009, 1.023363453374962, 1.1867440563989604, 1.1946584607558606, 0.4974410650136555, 1.228049967815782, 0.4916089351275081, 0.4171137289276771, 0.3406791869954157, 0.26230840465404937, 0.15101128029321345)
</std>
</params>
</standarize>
</standarize>
</transformations>
</PrepareData>
<SelectClassifier
file="C:\Users\A175606\workspace\commander\runs\demos\overfitting\30.SelectClassifier.xml">
<options>
<kfolds>3</kfolds>
<training_rate>0.75</training_rate>
<overfitting_splits>0.001,0.01,0.1,0.5,1</overfitting_splits>
<nCategories>6</nCategories>
<save>
<local>/Users/A175606/workspace/commander/runs/demos/overfitting/</local>
<remote>/user/A175606/test_overfitting</remote>
</save>
</options>
<data>
<input url="hdfs:/user/A175606/test_overfitting/temp.dat:repartition=12">
<columns>
[label,posee_deposito_plazo,posee_fondos_inversion,saldofinal_pasivo_titprinc,numero_lineas_productos,comisiones_todas_titularidades_interanual,margen_financiero_titularidad_principal_interanual,margen_ordinario_tp,saldo_medio_mensual_total_pasivo_minimo,saldo_medio_mensual_total_pasivo_maximo,saldo_medio_mensual_total_pasivo_desvtipica,saldo_medio_mensual_total_pasivo_tendabsoluta12m,importe_lcp,nu_ctrahorrplz_mt,im_saldmensufondinver_mt,im_saldmedmensutotpasv_mt,im_saldmedmensuahorrvis_mt,im_reembfondinvermes_mt,im_totcomismes_mt,codigo_segmento_interno_hot_1,codigo_segmento_interno_hot_2,codigo_segmento_interno_hot_3,in_tenacctabk_mt_hot_1,in_tenacctabk_mt_hot_2]
</columns>
</input>
</data>
<models>
<model name="DT_10" id="DecisionTree" test_overfitting="true">
<conf>
<impurity>gini</impurity>
<maxDepth>10</maxDepth>
<maxBins>32</maxBins>
<numClasses>2</numClasses>
<useNodeIdCache>false</useNodeIdCache>
</conf>
<result>
<stats>
<Statistics>
<Accuracy>0.96(0.00)</Accuracy>
<FNR>0.12(0.00)</FNR>
<FPR>0.03(0.00)</FPR>
<Ganancia>6.09(0.03)</Ganancia>
<N>75580.00(290.60)</N>
<P>11531.00(71.93)</P>
<Precision>0.81(0.00)</Precision>
<PrecisionExclu>0.98(0.00)</PrecisionExclu>
<PrecisionMinima>0.13(0.00)</PrecisionMinima>
<PrecisionMinimaExclu>0.87(0.00)</PrecisionMinimaExclu>
<TNR>0.97(0.00)</TNR>
<TPR>0.88(0.00)</TPR>
<Tiempo>9478275590.67(3204718529.78)</Tiempo>
<VolCampanha>12638.67(135.24)</VolCampanha>
<VolCampaniaExclu>74472.33(263.88)</VolCampaniaExclu>
</Statistics>
</stats>
<gd>
{&quot;series&quot;:[{&quot;data&quot;:[[0.001,0.0],[0.01,0.011337229095006944],[0.1,0.03028852710143198],[0.5,0.03740333029194511],[1.0,0.03962214190503487]],&quot;name&quot;:&quot;Training MSE&quot;,&quot;type&quot;:&quot;spline&quot;},{&quot;data&quot;:[[0.001,0.0,0.0],[0.01,0.009888968791301153,0.012785489398712735],[0.1,0.029653654120574708,0.030923400082289252],[0.5,0.03717625699201791,0.037630403591872315],[1.0,0.03942236644337796,0.039821917366691786]],&quot;name&quot;:&quot;Margin Training MSE&quot;,&quot;type&quot;:&quot;errorbar&quot;},{&quot;data&quot;:[[0.001,0.0614102065492314],[0.01,0.06384462960435422],[0.1,0.05022650010769603],[0.5,0.044755822021883086],[1.0,0.043732614868665254]],&quot;name&quot;:&quot;Test MSE&quot;,&quot;type&quot;:&quot;spline&quot;},{&quot;data&quot;:[[0.001,0.058322742356338,0.0644976707421248],[0.01,0.06038789303865771,0.06730136617005074],[0.1,0.0500448631876216,0.050408137027770465],[0.5,0.04447984662540914,0.045031797418357035],[1.0,0.04344087887812752,0.04402435085920299]],&quot;name&quot;:&quot;Margin Test MSE&quot;,&quot;type&quot;:&quot;errorbar&quot;}],&quot;exporting&quot;:{&quot;filename&quot;:&quot;chart&quot;},&quot;yAxis&quot;:[{&quot;title&quot;:{&quot;text&quot;:&quot;MSError&quot;}}],&quot;plotOptions&quot;:{&quot;line&quot;:{&quot;turboThreshold&quot;:0}},&quot;credits&quot;:{&quot;href&quot;:&quot;&quot;,&quot;text&quot;:&quot;Overfitting Learning Curves&quot;},&quot;chart&quot;:{&quot;zoomType&quot;:&quot;xy&quot;},&quot;title&quot;:{&quot;text&quot;:&quot;&quot;},&quot;xAxis&quot;:[{&quot;title&quot;:{&quot;text&quot;:&quot;Training Set Size&quot;}}]}
</gd>
</result>
</model>
<model name="RF_6_4" id="RandomForest" test_overfitting="true">
<conf>
<numTrees>32</numTrees>
<featureSubsetStrategy>auto</featureSubsetStrategy>
<impurity>gini</impurity>
<maxDepth>4</maxDepth>
<maxBins>32</maxBins>
<numClasses>2</numClasses>
<useNodeIdCache>true</useNodeIdCache>
</conf>
<result>
<stats>
<Statistics>
<Accuracy>0.96(0.00)</Accuracy>
<FNR>0.10(0.01)</FNR>
<FPR>0.04(0.00)</FPR>
<Ganancia>6.02(0.06)</Ganancia>
<N>75580.00(290.60)</N>
<P>11531.00(71.93)</P>
<Precision>0.80(0.01)</Precision>
<PrecisionExclu>0.98(0.00)</PrecisionExclu>
<PrecisionMinima>0.13(0.00)</PrecisionMinima>
<PrecisionMinimaExclu>0.87(0.00)</PrecisionMinimaExclu>
<TNR>0.96(0.00)</TNR>
<TPR>0.90(0.01)</TPR>
<Tiempo>5953464756.00(818112177.06)</Tiempo>
<VolCampanha>13039.33(315.73)</VolCampanha>
<VolCampaniaExclu>74071.67(160.50)</VolCampaniaExclu>
</Statistics>
</stats>
<gd>
{&quot;series&quot;:[{&quot;data&quot;:[[0.001,0.00883392805873426],[0.01,0.024621725564466197],[0.1,0.03702257591020005],[0.5,0.040773386043755716],[1.0,0.0415350096918887]],&quot;name&quot;:&quot;Training MSE&quot;,&quot;type&quot;:&quot;spline&quot;},{&quot;data&quot;:[[0.001,-5.8558200187055E-4,0.01825343811933907],[0.01,0.011060953852853543,0.03818249727607885],[0.1,0.03024676442567012,0.04379838739472998],[0.5,0.037366056220458216,0.044180715867053216],[1.0,0.03960430192916164,0.043465717454615756]],&quot;name&quot;:&quot;Margin Training MSE&quot;,&quot;type&quot;:&quot;errorbar&quot;},{&quot;data&quot;:[[0.001,0.05757060476278597],[0.01,0.05454187720758846],[0.1,0.04668399121497174],[0.5,0.044389926861260975],[1.0,0.043637020140514786]],&quot;name&quot;:&quot;Test MSE&quot;,&quot;type&quot;:&quot;spline&quot;},{&quot;data&quot;:[[0.001,0.05289002867005932,0.06225118085551262],[0.01,0.04486345778326867,0.06422029663190826],[0.1,0.04313241982029523,0.05023556260964825],[0.5,0.043812530734070605,0.044967322988451346],[1.0,0.04337645105715468,0.04389758922387489]],&quot;name&quot;:&quot;Margin Test MSE&quot;,&quot;type&quot;:&quot;errorbar&quot;}],&quot;exporting&quot;:{&quot;filename&quot;:&quot;chart&quot;},&quot;yAxis&quot;:[{&quot;title&quot;:{&quot;text&quot;:&quot;MSError&quot;}}],&quot;plotOptions&quot;:{&quot;line&quot;:{&quot;turboThreshold&quot;:0}},&quot;credits&quot;:{&quot;href&quot;:&quot;&quot;,&quot;text&quot;:&quot;Overfitting Learning Curves&quot;},&quot;chart&quot;:{&quot;zoomType&quot;:&quot;xy&quot;},&quot;title&quot;:{&quot;text&quot;:&quot;&quot;},&quot;xAxis&quot;:[{&quot;title&quot;:{&quot;text&quot;:&quot;Training Set Size&quot;}}]}
</gd>
</result>
</model>
</models>
</SelectClassifier>
<SelectScorer
file="C:\Users\A175606\workspace\commander\runs\demos\overfitting\40.SelectScorer.xml">
<options>
<kfolds>3</kfolds>
<training_rate>0.75</training_rate>
<overfitting_splits>0.001,0.01,0.1,0.5,1</overfitting_splits>
<nCategories>6</nCategories>
<save>
<local>/Users/A175606/workspace/commander/runs/demos/overfitting/</local>
<remote>/user/A175606/test_overfitting</remote>
</save>
</options>
<data>
<input url="hdfs:/user/A175606/test_overfitting/temp.dat:repartition=12">
<columns>
[label,posee_deposito_plazo,posee_fondos_inversion,saldofinal_pasivo_titprinc,numero_lineas_productos,comisiones_todas_titularidades_interanual,margen_financiero_titularidad_principal_interanual,margen_ordinario_tp,saldo_medio_mensual_total_pasivo_minimo,saldo_medio_mensual_total_pasivo_maximo,saldo_medio_mensual_total_pasivo_desvtipica,saldo_medio_mensual_total_pasivo_tendabsoluta12m,importe_lcp,nu_ctrahorrplz_mt,im_saldmensufondinver_mt,im_saldmedmensutotpasv_mt,im_saldmedmensuahorrvis_mt,im_reembfondinvermes_mt,im_totcomismes_mt,codigo_segmento_interno_hot_1,codigo_segmento_interno_hot_2,codigo_segmento_interno_hot_3,in_tenacctabk_mt_hot_1,in_tenacctabk_mt_hot_2]
</columns>
</input>
</data>
<models>
<model name="DT_10" id="MLDecisionTreeS" test_overfitting="true">
<conf>
<impurity>gini</impurity>
<maxDepth>10</maxDepth>
<maxBins>32</maxBins>
<useNodeIdCache>false</useNodeIdCache>
</conf>
<result>
<stats>
<ScorerStatistics>
<Ganancia>6.58(0.02)</Ganancia>
<NumUnos>11531.00(71.93)</NumUnos>
<decil1>0.77(0.01)</decil1>
<decil2>0.05(0.00)</decil2>
<decil3>0.02(0.00)</decil3>
<decil4>0.01(0.00)</decil4>
<decil5>0.01(0.00)</decil5>
<decil6>0.00(0.00)</decil6>
<decil7>0.00(0.00)</decil7>
<decil8>0.00(0.00)</decil8>
<decil9>0.00(0.00)</decil9>
</ScorerStatistics>
</stats>
<gd>
{&quot;series&quot;:[{&quot;data&quot;:[[0.001,0.0],[0.01,0.007713034937983987],[0.1,0.023666253745876997],[0.5,0.02884304158680488],[1.0,0.030527212140411052]],&quot;name&quot;:&quot;Training MSE&quot;,&quot;type&quot;:&quot;spline&quot;},{&quot;data&quot;:[[0.001,0.0,0.0],[0.01,0.007440654617885178,0.007985415258082796],[0.1,0.023348766924082724,0.02398374056767127],[0.5,0.028384368878116573,0.029301714295493185],[1.0,0.030437338899812493,0.03061708538100961]],&quot;name&quot;:&quot;Margin Training MSE&quot;,&quot;type&quot;:&quot;errorbar&quot;},{&quot;data&quot;:[[0.001,0.07594620124458344],[0.01,0.06537277338489685],[0.1,0.04326842117012692],[0.5,0.03577123300675885],[1.0,0.03419911328894038]],&quot;name&quot;:&quot;Test MSE&quot;,&quot;type&quot;:&quot;spline&quot;},{&quot;data&quot;:[[0.001,0.0679559115041962,0.08393649098497068],[0.01,0.0632906497994627,0.067454896970331],[0.1,0.042077107220205474,0.04445973512004837],[0.5,0.035388687897774655,0.036153778115743045],[1.0,0.033954828431609546,0.03444339814627122]],&quot;name&quot;:&quot;Margin Test MSE&quot;,&quot;type&quot;:&quot;errorbar&quot;}],&quot;exporting&quot;:{&quot;filename&quot;:&quot;chart&quot;},&quot;yAxis&quot;:[{&quot;title&quot;:{&quot;text&quot;:&quot;MSError&quot;}}],&quot;plotOptions&quot;:{&quot;line&quot;:{&quot;turboThreshold&quot;:0}},&quot;credits&quot;:{&quot;href&quot;:&quot;&quot;,&quot;text&quot;:&quot;Overfitting Learning Curves&quot;},&quot;chart&quot;:{&quot;zoomType&quot;:&quot;xy&quot;},&quot;title&quot;:{&quot;text&quot;:&quot;&quot;},&quot;xAxis&quot;:[{&quot;title&quot;:{&quot;text&quot;:&quot;Training Set Size&quot;}}]}
</gd>
</result>
</model>
<model name="RF_6_4" id="MLRandomForestS" test_overfitting="true">
<conf>
<numTrees>32</numTrees>
<featureSubsetStrategy>auto</featureSubsetStrategy>
<impurity>gini</impurity>
<maxDepth>4</maxDepth>
<maxBins>32</maxBins>
<useNodeIdCache>true</useNodeIdCache>
</conf>
<result>
<stats>
<ScorerStatistics>
<Ganancia>6.55(0.04)</Ganancia>
<NumUnos>11531.00(71.93)</NumUnos>
<decil1>0.70(0.02)</decil1>
<decil2>0.08(0.01)</decil2>
<decil3>0.03(0.00)</decil3>
<decil4>0.02(0.00)</decil4>
<decil5>0.01(0.00)</decil5>
<decil6>0.01(0.00)</decil6>
<decil7>0.01(0.00)</decil7>
<decil8>0.01(0.00)</decil8>
<decil9>0.01(0.00)</decil9>
</ScorerStatistics>
</stats>
<gd>
{&quot;series&quot;:[{&quot;data&quot;:[[0.001,0.007516042176560669],[0.01,0.019098980962623458],[0.1,0.028774356983034],[0.5,0.03187696205474338],[1.0,0.03258040029976538]],&quot;name&quot;:&quot;Training MSE&quot;,&quot;type&quot;:&quot;spline&quot;},{&quot;data&quot;:[[0.001,-5.708781930529993E-4,0.015602962546174338],[0.01,0.0076686287969602585,0.030529333128286658],[0.1,0.0236354402248947,0.0339132737411733],[0.5,0.028824865597086666,0.034929058512400094],[1.0,0.030426662750775584,0.034734137848755176]],&quot;name&quot;:&quot;Margin Training MSE&quot;,&quot;type&quot;:&quot;errorbar&quot;},{&quot;data&quot;:[[0.001,0.057173392730671235],[0.01,0.05036509857341038],[0.1,0.038907808491020685],[0.5,0.03529061544222885],[1.0,0.03445543178927308]],&quot;name&quot;:&quot;Test MSE&quot;,&quot;type&quot;:&quot;spline&quot;},{&quot;data&quot;:[[0.001,0.03754989097353954,0.07679689448780293],[0.01,0.03528111931721632,0.06544907782960444],[0.1,0.03446088071012908,0.04335473627191229],[0.5,0.034651705372126064,0.03592952551233163],[1.0,0.033988973217959545,0.03492189036058661]],&quot;name&quot;:&quot;Margin Test MSE&quot;,&quot;type&quot;:&quot;errorbar&quot;}],&quot;exporting&quot;:{&quot;filename&quot;:&quot;chart&quot;},&quot;yAxis&quot;:[{&quot;title&quot;:{&quot;text&quot;:&quot;MSError&quot;}}],&quot;plotOptions&quot;:{&quot;line&quot;:{&quot;turboThreshold&quot;:0}},&quot;credits&quot;:{&quot;href&quot;:&quot;&quot;,&quot;text&quot;:&quot;Overfitting Learning Curves&quot;},&quot;chart&quot;:{&quot;zoomType&quot;:&quot;xy&quot;},&quot;title&quot;:{&quot;text&quot;:&quot;&quot;},&quot;xAxis&quot;:[{&quot;title&quot;:{&quot;text&quot;:&quot;Training Set Size&quot;}}]}
</gd>
</result>
</model>
</models>
</SelectScorer>
</result>
</code></pre>
</div>
</div> <!-- col -->
</div> <!-- row -->
<div class="row">
<div class="col-md-12" >
<ul id="tree1">
<li> LoadData
<ul>
<li><a style="overflow-wrap:break-word;">File: C:\Users\A175606\workspace\commander\runs\demos\overfitting\10.LoadData.xml</a></li>
<li>Data: <ul>
<li>Output <ul>
<li><a style="overflow-wrap:break-word;">memory:k1</a></li>
</ul></li>
</ul></li>
</ul>
</li>
<li> PrepareData
<ul>
<li><a style="overflow-wrap:break-word;">File: C:\Users\A175606\workspace\commander\runs\demos\overfitting\20.ProcessData.xml</a></li>
<li>Data: <ul>
<li>Input <ul>
<li><a style="overflow-wrap:break-word;">lcsv:/Users/A175606/workspace/commander/runs/demos/overfitting//data.csv</a></li>
</ul></li><li>Output <ul>
<li><a style="overflow-wrap:break-word;">hdfs:/user/A175606/test_overfitting/temp.dat</a></li>
</ul></li>
</ul></li>
<li> Transforms
<ul>
<li><a href="#" class="withData">remove_outliers</a>
<div class="dataDiv collapse">
<pre><code class="xml">
<remove_outliers force_checkpoint="false">
<columns>all</columns>
<times>3.0</times>
<max_percentage_of_outliers>0.05</max_percentage_of_outliers>
<params>
<columns>
saldofinal_pasivo_titprinc;saldo_medio_mensual_total_pasivo_desvtipica;saldo_medio_mensual_total_pasivo_tendabsoluta12m
</columns>
<lines_removed> 181 </lines_removed>
</params>
</remove_outliers>
</code></pre>
</div>
</li>
<li><a href="#" class="withData">discretize</a>
<div class="dataDiv collapse">
<pre><code class="xml">
<discretize force_checkpoint="false">
<limit>50</limit>
<nCategories>5</nCategories>
<discretizacion>
<antes>
<schema>
<column name="codigo_segmento_interno" dataType="double" nullable="true">
<![CDATA[{"dif_values":7}]]>
</column>
<column name="posee_deposito_plazo" dataType="double" nullable="true">
<![CDATA[{"dif_values":2}]]>
</column>
<column name="posee_fondos_inversion" dataType="double" nullable="true">
<![CDATA[{"dif_values":2}]]>
</column>
<column name="saldofinal_pasivo_titprinc" dataType="double" nullable="true">
<![CDATA[{"outliers_std_multiplier":3.0,"dif_values":177178}]]>
</column>
<column name="numero_lineas_productos" dataType="double" nullable="true">
<![CDATA[{"dif_values":23}]]>
</column>
<column
name="comisiones_todas_titularidades_interanual" dataType="double" nullable="true">
<![CDATA[{"dif_values":59391}]]>
</column>
<column
name="margen_financiero_titularidad_principal_interanual" dataType="double" nullable="true">
<![CDATA[{"dif_values":78048}]]>
</column>
<column name="margen_ordinario_tp" dataType="double" nullable="true">
<![CDATA[{"dif_values":90535}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_minimo" dataType="double" nullable="true">
<![CDATA[{"dif_values":159561}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_maximo" dataType="double" nullable="true">
<![CDATA[{"dif_values":181541}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_desvtipica" dataType="double" nullable="true">
<![CDATA[{"outliers_std_multiplier":3.0,"dif_values":195077}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_tendabsoluta12m" dataType="double" nullable="true">
<![CDATA[{"outliers_std_multiplier":3.0,"dif_values":155839}]]>
</column>
<column name="importe_lcp" dataType="double" nullable="true">
<![CDATA[{"dif_values":829}]]>
</column>
<column name="in_tenacctabk_mt" dataType="double" nullable="true">
<![CDATA[{"dif_values":3}]]>
</column>
<column name="nu_ctrahorrplz_mt" dataType="double" nullable="true">
<![CDATA[{"dif_values":20}]]>
</column>
<column name="im_saldmensufondinver_mt" dataType="double" nullable="true">
<![CDATA[{"dif_values":34010}]]>
</column>
<column name="im_saldmedmensutotpasv_mt" dataType="double" nullable="true">
<![CDATA[{"dif_values":183152}]]>
</column>
<column name="im_saldmedmensuahorrvis_mt" dataType="double" nullable="true">
<![CDATA[{"dif_values":174430}]]>
</column>
<column name="im_reembfondinvermes_mt" dataType="double" nullable="true">
<![CDATA[{"dif_values":5224}]]>
</column>
<column name="im_totcomismes_mt" dataType="double" nullable="true">
<![CDATA[{"dif_values":12897}]]>
</column>
</schema>
</antes>
<despues>
<schema>
<column name="codigo_segmento_interno" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":7}}]]>
</column>
<column name="posee_deposito_plazo" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":2}}]]>
</column>
<column name="posee_fondos_inversion" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":2}}]]>
</column>
<column name="saldofinal_pasivo_titprinc" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 51273.0, 436807.0, 3198280.0, Infinity)"},"outliers_std_multiplier":3.0}]]>
</column>
<column name="numero_lineas_productos" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":23}}]]>
</column>
<column
name="comisiones_todas_titularidades_interanual" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 60.0, 2516.0, 6924.0, 20216.0, Infinity)"}}]]>
</column>
<column
name="margen_financiero_titularidad_principal_interanual" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, -107.0, -1.0, 0.0, 4542.0, Infinity)"}}]]>
</column>
<column name="margen_ordinario_tp" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 241.0, 5283.0, 16144.0, 48124.0, Infinity)"}}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_minimo" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 83.48, 2051.88, 23263.63, Infinity)"}}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_maximo" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 797.68, 5862.3, 35077.64, Infinity)"}}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_desvtipica" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 129.0499, 611.3116, 2260.0956, Infinity)"},"outliers_std_multiplier":3.0}]]>
</column>
<column
name="saldo_medio_mensual_total_pasivo_tendabsoluta12m" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, -411.77, -0.01, 0.76, 1539.18, Infinity)"},"outliers_std_multiplier":3.0}]]>
</column>
<column name="importe_lcp" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 300.0, 1600.0, 4000.0, Infinity)"}}]]>
</column>
<column name="in_tenacctabk_mt" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":3}}]]>
</column>
<column name="nu_ctrahorrplz_mt" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":20}}]]>
</column>
<column name="im_saldmensufondinver_mt" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 33.12, 33.3, 48.38, Infinity)"}}]]>
</column>
<column name="im_saldmedmensutotpasv_mt" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 512.15, 5315.03, 42695.53, Infinity)"}}]]>
</column>
<column name="im_saldmedmensuahorrvis_mt" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 378.74, 2717.8, 12249.2, Infinity)"}}]]>
</column>
<column name="im_reembfondinvermes_mt" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 3.09, 3.5, 4.37, Infinity)"}}]]>
</column>
<column name="im_totcomismes_mt" dataType="double" nullable="true">
<![CDATA[{"discretizer":{"dif_values":5,"buckets":"List(-Infinity, 0.0, 0.01, 0.21, 6.88, Infinity)"}}]]>
</column>
</schema>
</despues>
</discretizacion>
</discretize>
</code></pre>
</div>
</li>
<li><a href="#" class="withData">onehot</a>
<div class="dataDiv collapse">
<pre><code class="xml">
<onehot force_checkpoint="false">
<binary>true</binary>
<columns>
cod_sexo,cod_estado_civil,segmento_valor,segmento_actividad,segmento_socioeconomico,segmento_por_relacion,segmento_marketing,clasificacion_nivel_renta,codigo_segmento_interno,IN_TenAcctaBK_MT,IN_TenFondInver_MT,IN_TenPlanPens_MT
</columns>
<result>
<params>
<labels>
List(codigo_segmento_interno-&gt;1.0,4.0,6.0,3.0,0.0,2.0,5.0, in_tenacctabk_mt-&gt;0.0,2.0,1.0)
</labels>
<dimensions>
ArrayBuffer(codigo_segmento_interno-&gt;3, in_tenacctabk_mt-&gt;2)
</dimensions>
</params>
</result>
</onehot>
</code></pre>
</div>
</li>
<li><a href="#" class="withData">standarize</a>
<div class="dataDiv collapse">
<pre><code class="xml">
<standarize force_checkpoint="false">
<withMean>true</withMean>
<withSTD>true</withSTD>
<standarize>
<params>
<mean>
List(0.2031163305055236, 0.15391856367163734, 2.1684861842936094, 6.315872851878687, 1.972311189172443, 2.553768563480313, 1.9886198834437105, 2.1198203058932727, 2.1770882360819175, 2.1808382408651377, 2.09904604470158, 2.2499148595852643, 0.2630360497908782, 1.4033857186042198, 2.16672215143133, 2.169370113992486, 1.084929955267802, 2.0728113173613596, 0.40877730711391214, 0.2242885513884584, 0.13402440564337453, 0.07433045195210708, 0.023349519578468852)
</mean>
<std>
List(0.40231915956517844, 0.36087135900690254, 1.195194922846945, 3.341067636556047, 1.416624580575253, 1.3711749596111389, 1.4117439455188436, 1.2486673697230544, 1.17037958243918, 1.1565649170121768, 1.3707961678370848, 1.133796434255044, 0.7181331813562009, 1.023363453374962, 1.1867440563989604, 1.1946584607558606, 0.4974410650136555, 1.228049967815782, 0.4916089351275081, 0.4171137289276771, 0.3406791869954157, 0.26230840465404937, 0.15101128029321345)
</std>
</params>
</standarize>
</standarize>
</code></pre>
</div>
</li>
</ul>
</li>
</ul>
</li>
<li> SelectClassifier
<ul>
<li><a style="overflow-wrap:break-word;">File: C:\Users\A175606\workspace\commander\runs\demos\overfitting\30.SelectClassifier.xml</a></li>
<li>Data: <ul>
<li>Input <ul>
<li><a style="overflow-wrap:break-word;">hdfs:/user/A175606/test_overfitting/temp.dat:repartition=12</a></li>
</ul></li>
</ul></li>
<li> Models
<ul>
<li><a href="#" class="withData">Model:DT_10 Type: DecisionTree</a>
<div class="dataDiv collapse">
<pre><code class="xml">
<conf>
<impurity>gini</impurity>
<maxDepth>10</maxDepth>
<maxBins>32</maxBins>
<numClasses>2</numClasses>
<useNodeIdCache>false</useNodeIdCache>
</conf>
<stats>
<Statistics>
<Accuracy>0.96(0.00)</Accuracy>
<FNR>0.12(0.00)</FNR>
<FPR>0.03(0.00)</FPR>
<Ganancia>6.09(0.03)</Ganancia>
<N>75580.00(290.60)</N>
<P>11531.00(71.93)</P>
<Precision>0.81(0.00)</Precision>
<PrecisionExclu>0.98(0.00)</PrecisionExclu>
<PrecisionMinima>0.13(0.00)</PrecisionMinima>
<PrecisionMinimaExclu>0.87(0.00)</PrecisionMinimaExclu>
<TNR>0.97(0.00)</TNR>
<TPR>0.88(0.00)</TPR>
<Tiempo>9478275590.67(3204718529.78)</Tiempo>
<VolCampanha>12638.67(135.24)</VolCampanha>
<VolCampaniaExclu>74472.33(263.88)</VolCampaniaExclu>
</Statistics>
</stats>
</code></pre>
</div>
<div class="imgDiv collapse">
<a hidden>{"series":[{"data":[[0.001,0.0],[0.01,0.011337229095006944],[0.1,0.03028852710143198],[0.5,0.03740333029194511],[1.0,0.03962214190503487]],"name":"Training MSE","type":"spline"},{"data":[[0.001,0.0,0.0],[0.01,0.009888968791301153,0.012785489398712735],[0.1,0.029653654120574708,0.030923400082289252],[0.5,0.03717625699201791,0.037630403591872315],[1.0,0.03942236644337796,0.039821917366691786]],"name":"Margin Training MSE","type":"errorbar"},{"data":[[0.001,0.0614102065492314],[0.01,0.06384462960435422],[0.1,0.05022650010769603],[0.5,0.044755822021883086],[1.0,0.043732614868665254]],"name":"Test MSE","type":"spline"},{"data":[[0.001,0.058322742356338,0.0644976707421248],[0.01,0.06038789303865771,0.06730136617005074],[0.1,0.0500448631876216,0.050408137027770465],[0.5,0.04447984662540914,0.045031797418357035],[1.0,0.04344087887812752,0.04402435085920299]],"name":"Margin Test MSE","type":"errorbar"}],"exporting":{"filename":"chart"},"yAxis":[{"title":{"text":"MSError"}}],"plotOptions":{"line":{"turboThreshold":0}},"credits":{"href":"","text":"Overfitting Learning Curves"},"chart":{"zoomType":"xy"},"title":{"text":""},"xAxis":[{"title":{"text":"Training Set Size"}}]}</a>
<div id="img_container"></div>
</div>
</li>
<li><a href="#" class="withData">Model:RF_6_4 Type: RandomForest</a>
<div class="dataDiv collapse">
<pre><code class="xml">
<conf>
<numTrees>32</numTrees>
<featureSubsetStrategy>auto</featureSubsetStrategy>
<impurity>gini</impurity>
<maxDepth>4</maxDepth>
<maxBins>32</maxBins>
<numClasses>2</numClasses>
<useNodeIdCache>true</useNodeIdCache>
</conf>
<stats>
<Statistics>
<Accuracy>0.96(0.00)</Accuracy>
<FNR>0.10(0.01)</FNR>
<FPR>0.04(0.00)</FPR>
<Ganancia>6.02(0.06)</Ganancia>
<N>75580.00(290.60)</N>
<P>11531.00(71.93)</P>
<Precision>0.80(0.01)</Precision>
<PrecisionExclu>0.98(0.00)</PrecisionExclu>
<PrecisionMinima>0.13(0.00)</PrecisionMinima>
<PrecisionMinimaExclu>0.87(0.00)</PrecisionMinimaExclu>
<TNR>0.96(0.00)</TNR>
<TPR>0.90(0.01)</TPR>
<Tiempo>5953464756.00(818112177.06)</Tiempo>
<VolCampanha>13039.33(315.73)</VolCampanha>
<VolCampaniaExclu>74071.67(160.50)</VolCampaniaExclu>
</Statistics>
</stats>
</code></pre>
</div>
<div class="imgDiv collapse">
<a hidden>{"series":[{"data":[[0.001,0.00883392805873426],[0.01,0.024621725564466197],[0.1,0.03702257591020005],[0.5,0.040773386043755716],[1.0,0.0415350096918887]],"name":"Training MSE","type":"spline"},{"data":[[0.001,-5.8558200187055E-4,0.01825343811933907],[0.01,0.011060953852853543,0.03818249727607885],[0.1,0.03024676442567012,0.04379838739472998],[0.5,0.037366056220458216,0.044180715867053216],[1.0,0.03960430192916164,0.043465717454615756]],"name":"Margin Training MSE","type":"errorbar"},{"data":[[0.001,0.05757060476278597],[0.01,0.05454187720758846],[0.1,0.04668399121497174],[0.5,0.044389926861260975],[1.0,0.043637020140514786]],"name":"Test MSE","type":"spline"},{"data":[[0.001,0.05289002867005932,0.06225118085551262],[0.01,0.04486345778326867,0.06422029663190826],[0.1,0.04313241982029523,0.05023556260964825],[0.5,0.043812530734070605,0.044967322988451346],[1.0,0.04337645105715468,0.04389758922387489]],"name":"Margin Test MSE","type":"errorbar"}],"exporting":{"filename":"chart"},"yAxis":[{"title":{"text":"MSError"}}],"plotOptions":{"line":{"turboThreshold":0}},"credits":{"href":"","text":"Overfitting Learning Curves"},"chart":{"zoomType":"xy"},"title":{"text":""},"xAxis":[{"title":{"text":"Training Set Size"}}]}</a>
<div id="img_container"></div>
</div>
</li>
<li class=""><a href="#" class="withData">Summary</a>
<div class="">
<table class="table table-striped table-bordered table-sm stats hover">
<thead class="thead-inverse">
<tr scope="row">
<th>Model ID</th>
<th>Ganancia</th>
<th>Accuracy</th>
<th>Precision</th>
<th>PrecisionMinima</th>
<th>PrecisionExclu</th>
<th>PrecisionMinimaExclu</th>
<th>VolCampanha</th>
<th>VolCampaniaExclu</th>
<th>N</th>
<th>P</th>
<th>FPR</th>
<th>FNR</th>
<th>TPR</th>
<th>TNR</th>
<th>Tiempo</th>
</tr>
</thead>
<tbody>
<tr scope="row">
<td>DT_10</td>
<td>6.09(0.03)</td>
<td>0.96(0.00)</td>
<td>0.81(0.00)</td>
<td>0.13(0.00)</td>
<td>0.98(0.00)</td>
<td>0.87(0.00)</td>
<td>12638.67(135.24)</td>
<td>74472.33(263.88)</td>