209820
2
Joaquin Vanschoren
4186
Supervised Classification
predictive_accuracy
1182
weka.AdaBoostM1_DecisionStump(12)
2030
weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 160 -W weka.classifiers.trees.DecisionStump
P
100
1182
S
1
1182
I
160
1182
W
weka.classifiers.trees.DecisionStump
1182
weka
weka_3.7.12
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
696652
description
https://api.openml.org/data/download/696652/weka_generated_run1080182527441741237.xml
-1
696655
model_readable
https://api.openml.org/data/download/696655/WekaModel_weka.classifiers.meta.AdaBoostM1542252253531426736.model
-1
696654
model_serialized
https://api.openml.org/data/download/696654/WekaSerialized_weka.classifiers.meta.AdaBoostM12235431512558836101.model
-1
696653
predictions
https://api.openml.org/data/download/696653/weka_generated_predictions814189988466685913.arff
area_under_roc_curve
0.721794 [0.673416,0.773816,0.756062,0.768825,0.768054,0.723467,0.760824,0.512582,0.737448,0.634821,0.719558,0.737448,0.716541,0.721626,0.737448,0.761035,0.731759,0.737448,0.734465,0.766217,0.779174,0.7708,0.498083,0.737448,0.734655,0.773604]
average_cost
0
f_measure
0.012229 [0,0.030662,0,0,0,0,0,0,0.132996,0,0,0,0,0,0,0,0,0,0,0,0.154177,0,0,0,0,0]
kappa
0.039976
kb_relative_information_score
14465.725664
mean_absolute_error
0.071467
mean_prior_absolute_error
0.073964
number_of_instances
77970 [3000,3000,3000,3000,3000,2980,3000,3000,3000,3000,3000,3000,2990,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000,3000]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.009015 [0,0.079387,0,0,0,0,0,0,0.071235,0,0,0,0,0,0,0,0,0,0,0,0.08367,0,0,0,0,0]
predictive_accuracy
0.076914
prior_entropy
4.700438
recall
0.076914 [0,0.019,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0.98,0,0,0,0,0]
relative_absolute_error
0.966237
root_mean_prior_squared_error
0.192308
root_mean_squared_error
0.189039
root_relative_squared_error
0.983001
scimark_benchmark
1313.57262 [792.4763610671445, 994.3008483142872, 543.5291474252327, 1105.1602121362496, 3132.396530689446]
total_cost
0
usercpu_time_millis
1610
usercpu_time_millis_testing
20
usercpu_time_millis_training
1590
area_under_roc_curve
0.727385 [0.617333,0.781333,0.764,0.781333,0.781333,0.738667,0.781333,0.6,0.738667,0.634667,0.721333,0.738667,0.721333,0.704,0.738667,0.764,0.712,0.738667,0.738667,0.746667,0.781333,0.781333,0.548,0.738667,0.738667,0.781333]
area_under_roc_curve
0.723641 [0.71,0.758,0.775333,0.775333,0.775333,0.727333,0.775333,0.536667,0.744667,0.588667,0.727333,0.744667,0.692667,0.727333,0.744667,0.758,0.706,0.744667,0.744667,0.758,0.775333,0.775333,0.502,0.744667,0.727333,0.775333]
area_under_roc_curve
0.730974 [0.701333,0.784,0.766667,0.784,0.784,0.736,0.766667,0.614667,0.736,0.684,0.701333,0.736,0.701333,0.718667,0.736,0.766667,0.749333,0.736,0.736,0.766667,0.784,0.784,0.493333,0.736,0.736,0.766667]
area_under_roc_curve
0.723231 [0.707333,0.778,0.743333,0.778,0.778,0.724667,0.778,0.534,0.742,0.586,0.742,0.742,0.742,0.724667,0.742,0.743333,0.726,0.742,0.742,0.760667,0.778,0.760667,0.464667,0.742,0.724667,0.778]
area_under_roc_curve
0.736821 [0.713333,0.772,0.772,0.789333,0.772,0.713333,0.789333,0.644,0.730667,0.644,0.730667,0.730667,0.730667,0.713333,0.730667,0.772,0.754667,0.730667,0.730667,0.789333,0.789333,0.789333,0.592,0.730667,0.713333,0.789333]
area_under_roc_curve
0.728923 [0.722667,0.78,0.762667,0.78,0.78,0.74,0.762667,0.462667,0.74,0.705333,0.722667,0.74,0.74,0.74,0.74,0.78,0.745333,0.74,0.722667,0.762667,0.78,0.78,0.48,0.74,0.74,0.762667]
area_under_roc_curve
0.733231 [0.716,0.786667,0.769333,0.786667,0.769333,0.733333,0.786667,0.56,0.733333,0.664,0.733333,0.733333,0.716,0.733333,0.733333,0.786667,0.717333,0.733333,0.733333,0.786667,0.786667,0.786667,0.542667,0.733333,0.733333,0.769333]
area_under_roc_curve
0.727949 [0.686,0.782,0.782,0.782,0.782,0.738,0.764667,0.512667,0.738,0.668667,0.720667,0.738,0.738,0.738,0.738,0.764667,0.712667,0.738,0.738,0.764667,0.782,0.782,0.495333,0.738,0.738,0.764667]
area_under_roc_curve
0.727436 [0.691333,0.776667,0.759333,0.776667,0.776667,0.726,0.776667,0.552667,0.743333,0.587333,0.708667,0.743333,0.726,0.726,0.743333,0.759333,0.742,0.743333,0.743333,0.759333,0.776667,0.776667,0.535333,0.743333,0.743333,0.776667]
area_under_roc_curve
0.731026 [0.723333,0.779333,0.762,0.779333,0.779333,0.740667,0.744667,0.55,0.740667,0.619333,0.723333,0.740667,0.723333,0.740667,0.740667,0.779333,0.762,0.740667,0.740667,0.779333,0.779333,0.779333,0.498,0.740667,0.740667,0.779333]
area_under_roc_curve
0.729641 [0.666667,0.784,0.784,0.766667,0.766667,0.736,0.784,0.510667,0.736,0.701333,0.736,0.736,0.718667,0.736,0.736,0.749333,0.732,0.736,0.736,0.784,0.784,0.766667,0.528,0.736,0.736,0.784]
area_under_roc_curve
0.728923 [0.705333,0.78,0.762667,0.78,0.78,0.722667,0.762667,0.48,0.74,0.688,0.705333,0.74,0.74,0.74,0.74,0.745333,0.762667,0.74,0.74,0.78,0.78,0.762667,0.514667,0.74,0.74,0.78]
area_under_roc_curve
0.732513 [0.650667,0.782667,0.782667,0.782667,0.765333,0.737333,0.782667,0.598667,0.737333,0.650667,0.737333,0.737333,0.737333,0.737333,0.737333,0.782667,0.748,0.737333,0.737333,0.765333,0.782667,0.782667,0.512,0.737333,0.737333,0.765333]
area_under_roc_curve
0.730667 [0.708,0.76,0.76,0.777333,0.777333,0.725333,0.777333,0.5,0.742667,0.708,0.725333,0.742667,0.708,0.725333,0.742667,0.777333,0.777333,0.742667,0.742667,0.777333,0.777333,0.76,0.5,0.742667,0.742667,0.777333]
area_under_roc_curve
0.719282 [0.66,0.773333,0.756,0.756,0.773333,0.729333,0.738667,0.452,0.746667,0.66,0.746667,0.746667,0.746667,0.746667,0.746667,0.756,0.721333,0.746667,0.746667,0.756,0.773333,0.773333,0.382667,0.746667,0.746667,0.773333]
area_under_roc_curve
0.724769 [0.639333,0.776667,0.742,0.742,0.759333,0.708667,0.776667,0.57,0.743333,0.622,0.708667,0.743333,0.691333,0.726,0.743333,0.776667,0.776667,0.743333,0.743333,0.742,0.776667,0.776667,0.552667,0.743333,0.743333,0.776667]
area_under_roc_curve
0.726103 [0.674,0.776667,0.724667,0.776667,0.759333,0.743333,0.776667,0.500667,0.743333,0.604667,0.743333,0.743333,0.726,0.743333,0.743333,0.759333,0.776667,0.743333,0.743333,0.776667,0.776667,0.776667,0.500667,0.743333,0.743333,0.759333]
area_under_roc_curve
0.736872 [0.718,0.784667,0.784667,0.767333,0.784667,0.735333,0.784667,0.596667,0.735333,0.718,0.718,0.735333,0.700667,0.735333,0.735333,0.767333,0.784667,0.735333,0.735333,0.767333,0.784667,0.784667,0.51,0.735333,0.735333,0.784667]
area_under_roc_curve
0.725128 [0.672,0.778667,0.761333,0.778667,0.744,0.724,0.778667,0.533333,0.741333,0.62,0.741333,0.741333,0.706667,0.724,0.741333,0.761333,0.726667,0.741333,0.741333,0.778667,0.778667,0.761333,0.516,0.741333,0.741333,0.778667]
area_under_roc_curve
0.731385 [0.634667,0.781333,0.764,0.781333,0.781333,0.738667,0.746667,0.548,0.738667,0.704,0.721333,0.738667,0.738667,0.738667,0.738667,0.781333,0.746667,0.738667,0.738667,0.781333,0.781333,0.781333,0.513333,0.738667,0.738667,0.781333]
area_under_roc_curve
0.726872 [0.692,0.758667,0.758667,0.758667,0.776,0.726667,0.758667,0.518667,0.744,0.657333,0.709333,0.744,0.709333,0.709333,0.744,0.776,0.758667,0.744,0.726667,0.776,0.776,0.776,0.536,0.744,0.744,0.776]
area_under_roc_curve
0.732154 [0.687333,0.780667,0.780667,0.780667,0.780667,0.739333,0.763333,0.548667,0.739333,0.704667,0.739333,0.739333,0.739333,0.722,0.739333,0.780667,0.728667,0.739333,0.739333,0.780667,0.780667,0.780667,0.462,0.739333,0.739333,0.780667]
area_under_roc_curve
0.727641 [0.640667,0.758,0.775333,0.775333,0.775333,0.727333,0.758,0.432667,0.744667,0.692667,0.727333,0.744667,0.744667,0.744667,0.744667,0.775333,0.758,0.744667,0.744667,0.758,0.775333,0.775333,0.554,0.744667,0.727333,0.775333]
area_under_roc_curve
0.729077 [0.667333,0.783333,0.783333,0.766,0.748667,0.736667,0.748667,0.546,0.736667,0.632667,0.736667,0.736667,0.736667,0.736667,0.736667,0.766,0.766,0.736667,0.736667,0.783333,0.783333,0.783333,0.528667,0.736667,0.736667,0.766]
area_under_roc_curve
0.731179 [0.685333,0.782667,0.765333,0.782667,0.782667,0.702667,0.782667,0.546667,0.737333,0.685333,0.737333,0.737333,0.702667,0.72,0.737333,0.782667,0.730667,0.737333,0.737333,0.782667,0.782667,0.782667,0.564,0.737333,0.737333,0.748]
area_under_roc_curve
0.726615 [0.686,0.782,0.764667,0.764667,0.782,0.738,0.782,0.616667,0.738,0.651333,0.720667,0.738,0.703333,0.720667,0.738,0.747333,0.695333,0.738,0.738,0.782,0.782,0.782,0.443333,0.738,0.738,0.782]
area_under_roc_curve
0.73041 [0.684667,0.783333,0.783333,0.748667,0.783333,0.719333,0.766,0.494,0.736667,0.684667,0.736667,0.736667,0.736667,0.736667,0.736667,0.766,0.766,0.736667,0.736667,0.766,0.783333,0.766,0.546,0.736667,0.736667,0.783333]
area_under_roc_curve
0.729282 [0.668667,0.782,0.764667,0.747333,0.782,0.738,0.747333,0.564667,0.738,0.634,0.703333,0.738,0.738,0.738,0.738,0.764667,0.764667,0.738,0.738,0.782,0.782,0.782,0.53,0.738,0.738,0.782]
area_under_roc_curve
0.730051 [0.704,0.781333,0.746667,0.764,0.781333,0.738667,0.764,0.548,0.738667,0.686667,0.738667,0.738667,0.721333,0.721333,0.738667,0.781333,0.764,0.738667,0.721333,0.764,0.781333,0.781333,0.478667,0.738667,0.738667,0.781333]
area_under_roc_curve
0.725128 [0.689333,0.778667,0.744,0.778667,0.778667,0.724,0.761333,0.602667,0.741333,0.585333,0.741333,0.741333,0.706667,0.706667,0.741333,0.778667,0.692,0.741333,0.741333,0.778667,0.778667,0.778667,0.481333,0.741333,0.741333,0.778667]
area_under_roc_curve
0.733846 [0.702667,0.782667,0.748,0.782667,0.782667,0.737333,0.782667,0.529333,0.737333,0.650667,0.737333,0.737333,0.737333,0.72,0.737333,0.782667,0.765333,0.737333,0.737333,0.782667,0.782667,0.765333,0.564,0.737333,0.737333,0.782667]
area_under_roc_curve
0.728359 [0.688667,0.779333,0.779333,0.762,0.762,0.740667,0.762,0.55,0.740667,0.619333,0.706,0.740667,0.723333,0.740667,0.740667,0.779333,0.762,0.740667,0.740667,0.762,0.779333,0.762,0.515333,0.740667,0.740667,0.779333]
area_under_roc_curve
0.732103 [0.7,0.785333,0.768,0.785333,0.785333,0.734667,0.768,0.561333,0.734667,0.630667,0.717333,0.734667,0.717333,0.734667,0.734667,0.768,0.733333,0.734667,0.734667,0.768,0.785333,0.785333,0.578667,0.734667,0.734667,0.785333]
area_under_roc_curve
0.725692 [0.654,0.779333,0.727333,0.762,0.779333,0.740667,0.779333,0.515333,0.740667,0.602,0.740667,0.740667,0.740667,0.740667,0.740667,0.779333,0.71,0.740667,0.740667,0.779333,0.779333,0.779333,0.515333,0.740667,0.740667,0.779333]
area_under_roc_curve
0.730051 [0.704,0.781333,0.764,0.746667,0.781333,0.738667,0.764,0.548,0.738667,0.634667,0.738667,0.738667,0.738667,0.704,0.738667,0.781333,0.764,0.738667,0.738667,0.781333,0.781333,0.764,0.513333,0.738667,0.738667,0.781333]
area_under_roc_curve
0.727231 [0.672667,0.778,0.726,0.778,0.778,0.742,0.778,0.43,0.742,0.69,0.724667,0.742,0.742,0.742,0.742,0.778,0.743333,0.742,0.742,0.778,0.778,0.760667,0.534,0.742,0.724667,0.778]
area_under_roc_curve
0.73159 [0.722667,0.78,0.78,0.78,0.78,0.74,0.762667,0.514667,0.74,0.653333,0.722667,0.74,0.705333,0.74,0.74,0.762667,0.762667,0.74,0.722667,0.762667,0.78,0.78,0.549333,0.74,0.74,0.78]
area_under_roc_curve
0.729692 [0.619333,0.779333,0.744667,0.779333,0.762,0.740667,0.779333,0.55,0.740667,0.706,0.740667,0.740667,0.723333,0.723333,0.740667,0.779333,0.762,0.740667,0.740667,0.762,0.779333,0.779333,0.515333,0.740667,0.723333,0.779333]
area_under_roc_curve
0.730256 [0.670667,0.78,0.78,0.78,0.78,0.74,0.762667,0.532,0.74,0.618667,0.74,0.74,0.722667,0.74,0.74,0.78,0.745333,0.74,0.74,0.762667,0.78,0.78,0.549333,0.74,0.74,0.762667]
area_under_roc_curve
0.730615 [0.686,0.782,0.764667,0.782,0.782,0.738,0.782,0.564667,0.738,0.651333,0.738,0.738,0.703333,0.720667,0.738,0.764667,0.73,0.738,0.738,0.782,0.782,0.764667,0.53,0.738,0.738,0.782]
area_under_roc_curve
0.732718 [0.721333,0.781333,0.764,0.781333,0.764,0.704,0.781333,0.513333,0.738667,0.652,0.721333,0.738667,0.738667,0.704,0.738667,0.781333,0.764,0.738667,0.738667,0.781333,0.781333,0.781333,0.6,0.738667,0.738667,0.764]
area_under_roc_curve
0.726974 [0.666667,0.784,0.784,0.784,0.732,0.736,0.766667,0.58,0.736,0.632,0.736,0.736,0.701333,0.718667,0.736,0.749333,0.732,0.736,0.736,0.766667,0.784,0.784,0.528,0.736,0.736,0.784]
area_under_roc_curve
0.730462 [0.654667,0.778667,0.778667,0.778667,0.761333,0.741333,0.778667,0.533333,0.741333,0.672,0.724,0.741333,0.724,0.724,0.741333,0.778667,0.744,0.741333,0.741333,0.778667,0.778667,0.761333,0.533333,0.741333,0.741333,0.778667]
area_under_roc_curve
0.733282 [0.703333,0.782,0.764667,0.782,0.782,0.720667,0.764667,0.599333,0.738,0.686,0.738,0.738,0.720667,0.720667,0.738,0.782,0.764667,0.738,0.738,0.764667,0.782,0.782,0.478,0.738,0.738,0.782]
area_under_roc_curve
0.734256 [0.670667,0.78,0.78,0.78,0.78,0.74,0.78,0.549333,0.74,0.653333,0.722667,0.74,0.722667,0.74,0.74,0.78,0.762667,0.74,0.74,0.762667,0.78,0.78,0.566667,0.74,0.74,0.78]
area_under_roc_curve
0.732923 [0.670667,0.78,0.78,0.78,0.78,0.74,0.78,0.549333,0.74,0.705333,0.722667,0.74,0.74,0.722667,0.74,0.78,0.728,0.74,0.74,0.78,0.78,0.78,0.497333,0.74,0.74,0.78]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.727213 [0.650979,0.782377,0.782377,0.765042,0.765042,0.737333,0.747708,0.512305,0.73765,0.685648,0.73765,0.73765,0.720316,0.73765,0.73765,0.765042,0.747708,0.73765,0.73765,0.765042,0.782377,0.782377,0.512305,0.73765,0.73765,0.765042]
area_under_roc_curve
0.729726 [0.688985,0.779039,0.779039,0.779039,0.779039,0.722759,0.727036,0.498309,0.740988,0.671651,0.740988,0.740988,0.723654,0.740988,0.740988,0.779039,0.74437,0.740988,0.740988,0.779039,0.779039,0.779039,0.515643,0.740988,0.740988,0.779039]
area_under_roc_curve
0.724748 [0.686983,0.781041,0.729039,0.763707,0.781041,0.721651,0.746373,0.617646,0.738985,0.652314,0.738985,0.738985,0.702851,0.721651,0.738985,0.781041,0.711704,0.738985,0.738985,0.781041,0.781041,0.781041,0.409635,0.738985,0.738985,0.781041]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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0.011067 [0,0,0,0,0,0,0,0,0.133929,0,0,0,0,0,0,0,0,0,0,0,0.153453,0,0,0,0,0]
f_measure
0.011079 [0,0,0,0,0,0,0,0,0.133038,0,0,0,0,0,0,0,0,0,0,0,0.154639,0,0,0,0,0]
f_measure
0.011142 [0,0,0,0,0,0,0,0,0.12931,0,0,0,0,0,0,0,0,0,0,0,0.16,0,0,0,0,0]
f_measure
0.011091 [0,0,0,0,0,0,0,0,0.132159,0,0,0,0,0,0,0,0,0,0,0,0.155844,0,0,0,0,0]
f_measure
0.010702 [0,0.146597,0,0,0,0,0,0,0.131291,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.011057 [0,0,0,0,0,0,0,0,0.134831,0,0,0,0,0,0,0,0,0,0,0,0.152284,0,0,0,0,0]
f_measure
0.011079 [0,0,0,0,0,0,0,0,0.133038,0,0,0,0,0,0,0,0,0,0,0,0.154639,0,0,0,0,0]
f_measure
0.011087 [0,0,0,0,0,0,0,0,0.13245,0,0,0,0,0,0,0,0,0,0,0,0.15544,0,0,0,0,0]
f_measure
0.011054 [0,0,0,0,0,0,0,0,0.135135,0,0,0,0,0,0,0,0,0,0,0,0.151899,0,0,0,0,0]
kappa
0.04
kappa
0.04
kappa
0.04
kappa
0.04
kappa
0.04
kappa
0.04
kappa
0.04
kappa
0.04
kappa
0.04
kappa
0.04
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0.04
kappa
0.04
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kappa
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kappa
0.04
kappa
0.04
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0.04
kappa
0.04
kappa
0.04
kappa
0.038667
kappa
0.04
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0.04
kappa
0.04
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0.04
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0.04
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0.04
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0.04
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0.04
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0.04
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0.04
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0.04
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0.04
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0.04
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0.04
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kappa
0.04
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0.04
kappa
0.04
kappa
0.04
kappa
0.04
kappa
0.04
kappa
0.040053
kappa
0.040053
kappa
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kappa
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kappa
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kappa
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0.040053
kappa
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kappa
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kappa
0.040053
kappa
0.037383
kappa
0.040053
kappa
0.040053
kappa
0.040053
kappa
0.040053
kb_relative_information_score
143.590915
kb_relative_information_score
143.657057
kb_relative_information_score
144.660166
kb_relative_information_score
143.873756
kb_relative_information_score
144.995606
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145.487742
kb_relative_information_score
145.349773
kb_relative_information_score
144.859368
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144.246443
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145.441968
kb_relative_information_score
144.876061
kb_relative_information_score
145.102239
kb_relative_information_score
145.246305
kb_relative_information_score
145.472633
kb_relative_information_score
144.071939
kb_relative_information_score
143.061207
kb_relative_information_score
144.59733
kb_relative_information_score
146.111977
kb_relative_information_score
143.891481
kb_relative_information_score
145.268885
kb_relative_information_score
143.602401
kb_relative_information_score
145.906741
kb_relative_information_score
144.840748
kb_relative_information_score
144.615418
kb_relative_information_score
144.69458
kb_relative_information_score
144.080875
kb_relative_information_score
145.039375
kb_relative_information_score
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kb_relative_information_score
145.166422
kb_relative_information_score
143.581205
kb_relative_information_score
145.644537
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
144.249322
kb_relative_information_score
144.952345
kb_relative_information_score
144.906551
kb_relative_information_score
145.28841
kb_relative_information_score
144.771574
kb_relative_information_score
144.96641
kb_relative_information_score
144.852012
kb_relative_information_score
145.053071
kb_relative_information_score
143.805675
kb_relative_information_score
145.058171
kb_relative_information_score
145.595108
kb_relative_information_score
145.634126
kb_relative_information_score
145.819977
kb_relative_information_score
145.01094
kb_relative_information_score
144.858825
kb_relative_information_score
145.121152
kb_relative_information_score
145.282401
kb_relative_information_score
144.060303
kb_relative_information_score
145.302284
kb_relative_information_score
144.482865
kb_relative_information_score
144.46977
kb_relative_information_score
145.246031
kb_relative_information_score
144.684814
kb_relative_information_score
143.523098
kb_relative_information_score
143.950371
kb_relative_information_score
144.65345
kb_relative_information_score
145.629408
kb_relative_information_score
145.311363
kb_relative_information_score
144.900104
kb_relative_information_score
144.633659
kb_relative_information_score
145.455546
kb_relative_information_score
143.519847
kb_relative_information_score
144.221295
kb_relative_information_score
144.292893
kb_relative_information_score
144.468005
kb_relative_information_score
145.996296
kb_relative_information_score
144.749529
kb_relative_information_score
144.025676
kb_relative_information_score
143.197476
kb_relative_information_score
143.996415
kb_relative_information_score
144.815403
kb_relative_information_score
144.834562
kb_relative_information_score
144.588257
kb_relative_information_score
144.656347
kb_relative_information_score
145.572387
kb_relative_information_score
143.455828
kb_relative_information_score
143.503283
kb_relative_information_score
144.723375
kb_relative_information_score
144.817292
kb_relative_information_score
145.177699
kb_relative_information_score
144.601113
kb_relative_information_score
144.55865
kb_relative_information_score
144.571785
kb_relative_information_score
144.523167
kb_relative_information_score
143.465614
kb_relative_information_score
143.798212
kb_relative_information_score
145.046762
kb_relative_information_score
144.280088
kb_relative_information_score
145.083264
kb_relative_information_score
143.61121
kb_relative_information_score
143.586236
kb_relative_information_score
144.258202
kb_relative_information_score
145.316065
kb_relative_information_score
144.589126
kb_relative_information_score
144.142193
kb_relative_information_score
145.684323
kb_relative_information_score
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
0.07143
mean_absolute_error
0.07146
mean_absolute_error
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mean_absolute_error
0.07145
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0.071458
mean_absolute_error
0.071462
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mean_absolute_error
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0.071465
mean_absolute_error
0.071468
mean_absolute_error
0.071463
mean_absolute_error
0.071464
mean_absolute_error
0.071506
mean_absolute_error
0.071496
mean_absolute_error
0.071449
mean_absolute_error
0.071478
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0.071449
mean_absolute_error
0.0715
mean_absolute_error
0.071496
mean_absolute_error
0.071477
mean_absolute_error
0.071437
mean_absolute_error
0.071464
mean_absolute_error
0.071479
mean_absolute_error
0.071428
mean_absolute_error
0.071501
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
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mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
precision
0.005957 [0,0,0,0,0,0,0,0,0.07109,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0]
precision
0.005938 [0,0,0,0,0,0,0,0,0.072639,0,0,0,0,0,0,0,0,0,0,0,0.081744,0,0,0,0,0]
precision
0.005968 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084746,0,0,0,0,0]
precision
0.005946 [0,0,0,0,0,0,0,0,0.071942,0,0,0,0,0,0,0,0,0,0,0,0.082645,0,0,0,0,0]
precision
0.005993 [0,0,0,0,0,0,0,0,0.069124,0,0,0,0,0,0,0,0,0,0,0,0.086705,0,0,0,0,0]
precision
0.005952 [0,0,0,0,0,0,0,0,0.071429,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0]
precision
0.00598 [0,0,0,0,0,0,0,0,0.069767,0,0,0,0,0,0,0,0,0,0,0,0.085714,0,0,0,0,0]
precision
0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0]
precision
0.005942 [0,0,0,0,0,0,0,0,0.072289,0,0,0,0,0,0,0,0,0,0,0,0.082192,0,0,0,0,0]
precision
0.00595 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0]
precision
0.005968 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084746,0,0,0,0,0]
precision
0.005952 [0,0,0,0,0,0,0,0,0.071429,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0]
precision
0.005962 [0,0,0,0,0,0,0,0,0.070755,0,0,0,0,0,0,0,0,0,0,0,0.08427,0,0,0,0,0]
precision
0.005944 [0,0,0,0,0,0,0,0,0.072115,0,0,0,0,0,0,0,0,0,0,0,0.082418,0,0,0,0,0]
precision
0.005933 [0,0,0,0,0,0,0,0,0.073171,0,0,0,0,0,0,0,0,0,0,0,0.081081,0,0,0,0,0]
precision
0.005942 [0,0,0,0,0,0,0,0,0.072289,0,0,0,0,0,0,0,0,0,0,0,0.082192,0,0,0,0,0]
precision
0.005942 [0,0,0,0,0,0,0,0,0.072289,0,0,0,0,0,0,0,0,0,0,0,0.082192,0,0,0,0,0]
precision
0.005971 [0,0,0,0,0,0,0,0,0.070258,0,0,0,0,0,0,0,0,0,0,0,0.084986,0,0,0,0,0]
precision
0.005948 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.082873,0,0,0,0,0]
precision
0.005957 [0,0,0,0,0,0,0,0,0.07109,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0]
precision
0.005835 [0,0.079235,0,0,0,0,0,0,0.072464,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.005955 [0,0,0,0,0,0,0,0,0.071259,0,0,0,0,0,0,0,0,0,0,0,0.083565,0,0,0,0,0]
precision
0.005938 [0,0,0,0,0,0,0,0,0.072639,0,0,0,0,0,0,0,0,0,0,0,0.081744,0,0,0,0,0]
precision
0.005965 [0,0,0,0,0,0,0,0,0.070588,0,0,0,0,0,0,0,0,0,0,0,0.084507,0,0,0,0,0]
precision
0.005962 [0,0,0,0,0,0,0,0,0.070755,0,0,0,0,0,0,0,0,0,0,0,0.08427,0,0,0,0,0]
precision
0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0]
precision
0.005965 [0,0,0,0,0,0,0,0,0.070588,0,0,0,0,0,0,0,0,0,0,0,0.084507,0,0,0,0,0]
precision
0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0]
precision
0.005957 [0,0,0,0,0,0,0,0,0.07109,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0]
precision
0.005948 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.082873,0,0,0,0,0]
precision
0.005962 [0,0,0,0,0,0,0,0,0.070755,0,0,0,0,0,0,0,0,0,0,0,0.08427,0,0,0,0,0]
precision
0.00595 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0]
precision
0.005974 [0,0,0,0,0,0,0,0,0.070093,0,0,0,0,0,0,0,0,0,0,0,0.085227,0,0,0,0,0]
precision
0.00595 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0]
precision
0.005957 [0,0,0,0,0,0,0,0,0.07109,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0]
precision
0.005946 [0,0,0,0,0,0,0,0,0.071942,0,0,0,0,0,0,0,0,0,0,0,0.082645,0,0,0,0,0]
precision
0.005952 [0,0,0,0,0,0,0,0,0.071429,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0]
precision
0.00595 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0]
precision
0.005952 [0,0,0,0,0,0,0,0,0.071429,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0]
precision
0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0]
precision
0.005957 [0,0,0,0,0,0,0,0,0.07109,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0]
precision
0.005968 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084746,0,0,0,0,0]
precision
0.005948 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.082873,0,0,0,0,0]
precision
0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0]
precision
0.005952 [0,0,0,0,0,0,0,0,0.071429,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0]
precision
0.005952 [0,0,0,0,0,0,0,0,0.071429,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0]
precision
0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0]
precision
0.00595 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0]
precision
0.005971 [0,0,0,0,0,0,0,0,0.070258,0,0,0,0,0,0,0,0,0,0,0,0.084986,0,0,0,0,0]
precision
0.005968 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084746,0,0,0,0,0]
precision
0.005946 [0,0,0,0,0,0,0,0,0.071942,0,0,0,0,0,0,0,0,0,0,0,0.082645,0,0,0,0,0]
precision
0.005944 [0,0,0,0,0,0,0,0,0.072115,0,0,0,0,0,0,0,0,0,0,0,0.082418,0,0,0,0,0]
precision
0.005944 [0,0,0,0,0,0,0,0,0.072115,0,0,0,0,0,0,0,0,0,0,0,0.082418,0,0,0,0,0]
precision
0.005948 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.082873,0,0,0,0,0]
precision
0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0]
precision
0.005946 [0,0,0,0,0,0,0,0,0.071942,0,0,0,0,0,0,0,0,0,0,0,0.082645,0,0,0,0,0]
precision
0.005955 [0,0,0,0,0,0,0,0,0.071259,0,0,0,0,0,0,0,0,0,0,0,0.083565,0,0,0,0,0]
precision
0.005974 [0,0,0,0,0,0,0,0,0.070093,0,0,0,0,0,0,0,0,0,0,0,0.085227,0,0,0,0,0]
precision
0.005962 [0,0,0,0,0,0,0,0,0.070755,0,0,0,0,0,0,0,0,0,0,0,0.08427,0,0,0,0,0]
precision
0.005948 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.082873,0,0,0,0,0]
precision
0.005944 [0,0,0,0,0,0,0,0,0.072115,0,0,0,0,0,0,0,0,0,0,0,0.082418,0,0,0,0,0]
precision
0.00598 [0,0,0,0,0,0,0,0,0.069767,0,0,0,0,0,0,0,0,0,0,0,0.085714,0,0,0,0,0]
precision
0.005948 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.082873,0,0,0,0,0]
precision
0.005934 [0,0,0,0,0,0,0,0,0.072993,0,0,0,0,0,0,0,0,0,0,0,0.081301,0,0,0,0,0]
precision
0.005957 [0,0,0,0,0,0,0,0,0.07109,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0]
precision
0.00596 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.084034,0,0,0,0,0]
precision
0.005946 [0,0,0,0,0,0,0,0,0.071942,0,0,0,0,0,0,0,0,0,0,0,0.082645,0,0,0,0,0]
precision
0.005952 [0,0,0,0,0,0,0,0,0.071429,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0]
precision
0.005971 [0,0,0,0,0,0,0,0,0.070258,0,0,0,0,0,0,0,0,0,0,0,0.084986,0,0,0,0,0]
precision
0.005968 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084746,0,0,0,0,0]
precision
0.005964 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0]
precision
0.005985 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084986,0,0,0,0,0]
precision
0.006004 [0,0,0,0,0,0,0,0,0.069444,0,0,0,0,0,0,0,0,0,0,0,0.086455,0,0,0,0,0]
precision
0.005997 [0,0,0,0,0,0,0,0,0.069767,0,0,0,0,0,0,0,0,0,0,0,0.08596,0,0,0,0,0]
precision
0.005958 [0,0,0,0,0,0,0,0,0.072289,0,0,0,0,0,0,0,0,0,0,0,0.082418,0,0,0,0,0]
precision
0.005979 [0,0,0,0,0,0,0,0,0.070755,0,0,0,0,0,0,0,0,0,0,0,0.084507,0,0,0,0,0]
precision
0.005967 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0]
precision
0.005967 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0]
precision
0.005988 [0,0,0,0,0,0,0,0,0.070258,0,0,0,0,0,0,0,0,0,0,0,0.085227,0,0,0,0,0]
precision
0.005964 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0]
precision
0.005979 [0,0,0,0,0,0,0,0,0.070755,0,0,0,0,0,0,0,0,0,0,0,0.084507,0,0,0,0,0]
precision
0.005985 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084986,0,0,0,0,0]
precision
0.005958 [0,0,0,0,0,0,0,0,0.072289,0,0,0,0,0,0,0,0,0,0,0,0.082418,0,0,0,0,0]
precision
0.005967 [0,0,0,0,0,0,0,0,0.071599,0,0,0,0,0,0,0,0,0,0,0,0.083333,0,0,0,0,0]
precision
0.005964 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0]
precision
0.005985 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084986,0,0,0,0,0]
precision
0.005988 [0,0,0,0,0,0,0,0,0.070258,0,0,0,0,0,0,0,0,0,0,0,0.085227,0,0,0,0,0]
precision
0.005954 [0,0,0,0,0,0,0,0,0.072639,0,0,0,0,0,0,0,0,0,0,0,0.081967,0,0,0,0,0]
precision
0.005947 [0,0,0,0,0,0,0,0,0.07335,0,0,0,0,0,0,0,0,0,0,0,0.081081,0,0,0,0,0]
precision
0.005985 [0,0,0,0,0,0,0,0,0.070423,0,0,0,0,0,0,0,0,0,0,0,0.084986,0,0,0,0,0]
precision
0.005977 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.08427,0,0,0,0,0]
precision
0.005964 [0,0,0,0,0,0,0,0,0.07177,0,0,0,0,0,0,0,0,0,0,0,0.083102,0,0,0,0,0]
precision
0.005971 [0,0,0,0,0,0,0,0,0.071259,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0]
precision
0.006011 [0,0,0,0,0,0,0,0,0.069124,0,0,0,0,0,0,0,0,0,0,0,0.086957,0,0,0,0,0]
precision
0.005979 [0,0,0,0,0,0,0,0,0.070755,0,0,0,0,0,0,0,0,0,0,0,0.084507,0,0,0,0,0]
precision
0.005769 [0,0.079545,0,0,0,0,0,0,0.070258,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.005958 [0,0,0,0,0,0,0,0,0.072289,0,0,0,0,0,0,0,0,0,0,0,0.082418,0,0,0,0,0]
precision
0.005971 [0,0,0,0,0,0,0,0,0.071259,0,0,0,0,0,0,0,0,0,0,0,0.083799,0,0,0,0,0]
precision
0.005977 [0,0,0,0,0,0,0,0,0.070922,0,0,0,0,0,0,0,0,0,0,0,0.08427,0,0,0,0,0]
precision
0.005956 [0,0,0,0,0,0,0,0,0.072464,0,0,0,0,0,0,0,0,0,0,0,0.082192,0,0,0,0,0]
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.075641
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.076923
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.074454
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
predictive_accuracy
0.077022
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.075641 [0,0.966667,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.076923 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.074454 [0,0.933333,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
recall
0.077022 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0]
relative_absolute_error
0.966732
relative_absolute_error
0.966764
relative_absolute_error
0.966244
relative_absolute_error
0.966668
relative_absolute_error
0.966006
relative_absolute_error
0.96592
relative_absolute_error
0.965906
relative_absolute_error
0.966187
relative_absolute_error
0.966459
relative_absolute_error
0.965905
relative_absolute_error
0.966157
relative_absolute_error
0.966083
relative_absolute_error
0.965964
relative_absolute_error
0.965913
relative_absolute_error
0.96663
relative_absolute_error
0.967007
relative_absolute_error
0.966325
relative_absolute_error
0.96556
relative_absolute_error
0.966637
relative_absolute_error
0.965977
relative_absolute_error
0.966626
relative_absolute_error
0.965697
relative_absolute_error
0.966209
relative_absolute_error
0.966274
relative_absolute_error
0.966224
relative_absolute_error
0.966537
relative_absolute_error
0.966078
relative_absolute_error
0.96632
relative_absolute_error
0.966044
relative_absolute_error
0.966755
relative_absolute_error
0.965777
relative_absolute_error
0.966308
relative_absolute_error
0.966153
relative_absolute_error
0.96646
relative_absolute_error
0.966121
relative_absolute_error
0.96618
relative_absolute_error
0.965967
relative_absolute_error
0.966221
relative_absolute_error
0.966109
relative_absolute_error
0.966158
relative_absolute_error
0.966048
relative_absolute_error
0.966669
relative_absolute_error
0.966078
relative_absolute_error
0.965819
relative_absolute_error
0.96578
relative_absolute_error
0.965727
relative_absolute_error
0.966142
relative_absolute_error
0.966174
relative_absolute_error
0.966009
relative_absolute_error
0.96597
relative_absolute_error
0.966585
relative_absolute_error
0.965985
relative_absolute_error
0.966377
relative_absolute_error
0.966333
relative_absolute_error
0.965972
relative_absolute_error
0.966289
relative_absolute_error
0.966809
relative_absolute_error
0.966564
relative_absolute_error
0.966249
relative_absolute_error
0.965806
relative_absolute_error
0.965995
relative_absolute_error
0.966073
relative_absolute_error
0.966281
relative_absolute_error
0.965948
relative_absolute_error
0.966802
relative_absolute_error
0.966457
relative_absolute_error
0.966468
relative_absolute_error
0.96637
relative_absolute_error
0.965608
relative_absolute_error
0.966217
relative_absolute_error
0.966503
relative_absolute_error
0.966872
relative_absolute_error
0.966441
relative_absolute_error
0.966036
relative_absolute_error
0.966115
relative_absolute_error
0.966165
relative_absolute_error
0.966149
relative_absolute_error
0.965756
relative_absolute_error
0.966757
relative_absolute_error
0.966745
relative_absolute_error
0.966136
relative_absolute_error
0.966067
relative_absolute_error
0.965962
relative_absolute_error
0.966211
relative_absolute_error
0.966242
relative_absolute_error
0.966182
relative_absolute_error
0.966195
relative_absolute_error
0.966757
relative_absolute_error
0.966625
relative_absolute_error
0.965993
relative_absolute_error
0.966388
relative_absolute_error
0.965994
relative_absolute_error
0.966677
relative_absolute_error
0.966626
relative_absolute_error
0.966373
relative_absolute_error
0.965826
relative_absolute_error
0.966196
relative_absolute_error
0.966402
relative_absolute_error
0.965709
relative_absolute_error
0.966692
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_squared_error
0.189147
root_mean_squared_error
0.18917
root_mean_squared_error
0.189033
root_mean_squared_error
0.189142
root_mean_squared_error
0.188967
root_mean_squared_error
0.188972
root_mean_squared_error
0.188952
root_mean_squared_error
0.189026
root_mean_squared_error
0.1891
root_mean_squared_error
0.188971
root_mean_squared_error
0.189012
root_mean_squared_error
0.189008
root_mean_squared_error
0.188975
root_mean_squared_error
0.188975
root_mean_squared_error
0.189146
root_mean_squared_error
0.189217
root_mean_squared_error
0.18907
root_mean_squared_error
0.188881
root_mean_squared_error
0.189133
root_mean_squared_error
0.188981
root_mean_squared_error
0.189111
root_mean_squared_error
0.188921
root_mean_squared_error
0.189048
root_mean_squared_error
0.189041
root_mean_squared_error
0.189032
root_mean_squared_error
0.189102
root_mean_squared_error
0.188996
root_mean_squared_error
0.189055
root_mean_squared_error
0.188996
root_mean_squared_error
0.189153
root_mean_squared_error
0.188934
root_mean_squared_error
0.189059
root_mean_squared_error
0.18901
root_mean_squared_error
0.18909
root_mean_squared_error
0.189011
root_mean_squared_error
0.189034
root_mean_squared_error
0.188983
root_mean_squared_error
0.18904
root_mean_squared_error
0.189013
root_mean_squared_error
0.189019
root_mean_squared_error
0.188997
root_mean_squared_error
0.189124
root_mean_squared_error
0.189011
root_mean_squared_error
0.188944
root_mean_squared_error
0.188941
root_mean_squared_error
0.188929
root_mean_squared_error
0.189015
root_mean_squared_error
0.189029
root_mean_squared_error
0.18898
root_mean_squared_error
0.188973
root_mean_squared_error
0.189124
root_mean_squared_error
0.188993
root_mean_squared_error
0.189074
root_mean_squared_error
0.189067
root_mean_squared_error
0.188978
root_mean_squared_error
0.189058
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