89993
2
Joaquin Vanschoren
3517
Supervised Classification
predictive_accuracy
563
weka.NaiveBayesUpdateable(2)
847
weka.classifiers.bayes.NaiveBayesUpdateable
382
ipums_la_97-small
https://www.openml.org/data/download/52422/ipums_la_97-small.arff
-1
270805
description
https://api.openml.org/data/download/270805/weka_generated_run1706067011252436043.xml
-1
270808
model_readable
https://api.openml.org/data/download/270808/WekaModel_weka.classifiers.bayes.NaiveBayesUpdateable1137875937274554576.model
-1
270807
model_serialized
https://api.openml.org/data/download/270807/WekaSerialized_weka.classifiers.bayes.NaiveBayesUpdateable7655357509603431576.model
-1
270806
predictions
https://api.openml.org/data/download/270806/weka_generated_predictions1983484438303919310.arff
area_under_roc_curve
0.728061 [0.771765,0.707197,0.668536,0.604506,0.688849,0.781353,0.85663,0.843047]
average_cost
0
build_cpu_time
0.0099
build_memory
348261263.95327
f_measure
0.301613 [0.536015,0.139241,0.059843,0.160385,0.22614,0.372943,0.277182,0.181004]
kappa
0.202846
kb_relative_information_score
1794.024521
mean_absolute_error
0.17435
mean_prior_absolute_error
0.208156
number_of_instances
7019 [1938,869,528,889,1227,1000,310,258]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.383835 [0.566341,0.324895,0.17757,0.27933,0.444976,0.343434,0.181727,0.10233]
predictive_accuracy
0.307594
prior_entropy
2.759053
recall
0.307594 [0.508772,0.088608,0.035985,0.112486,0.151589,0.408,0.583871,0.782946]
relative_absolute_error
0.837591
root_mean_prior_squared_error
0.322602
root_mean_squared_error
0.385046
root_relative_squared_error
1.193564
scimark_benchmark
922.564535 [568.8977537654588, 1015.2555353338006, 483.8854846559526, 886.8200001693772, 1657.9639000220855]
total_cost
0
area_under_roc_curve
0.72865 [0.784149,0.71569,0.603462,0.621799,0.669749,0.787326,0.891231,0.833153]
area_under_roc_curve
0.72844 [0.758275,0.751986,0.67926,0.594048,0.672276,0.794568,0.868804,0.835451]
area_under_roc_curve
0.724705 [0.754206,0.775012,0.691368,0.569725,0.679473,0.766711,0.867939,0.82003]
area_under_roc_curve
0.730844 [0.763886,0.731633,0.703651,0.574683,0.704825,0.769377,0.885126,0.862597]
area_under_roc_curve
0.727636 [0.767605,0.701916,0.642818,0.609232,0.699082,0.79603,0.858276,0.805388]
area_under_roc_curve
0.72675 [0.778817,0.664854,0.675858,0.604753,0.693238,0.787101,0.81698,0.884246]
area_under_roc_curve
0.718303 [0.783434,0.660751,0.667035,0.566783,0.685239,0.77588,0.850392,0.824277]
area_under_roc_curve
0.72217 [0.781227,0.666984,0.715615,0.649083,0.660267,0.742749,0.792414,0.857277]
area_under_roc_curve
0.720005 [0.749539,0.669134,0.690191,0.587981,0.709929,0.790033,0.816475,0.847007]
area_under_roc_curve
0.75528 [0.795321,0.740687,0.618911,0.669494,0.716319,0.804359,0.920077,0.872336]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
build_cpu_time
0.01
build_cpu_time
0.01
build_cpu_time
0.01
build_cpu_time
0.01
build_cpu_time
0.009
build_cpu_time
0.01
build_cpu_time
0.01
build_cpu_time
0.01
build_cpu_time
0.01
build_cpu_time
0.01
build_memory
132682456
build_memory
287895696
build_memory
313981088
build_memory
336147616
build_memory
341357744
build_memory
375283304
build_memory
397449832
build_memory
402659960
build_memory
436572776
build_memory
458739544
f_measure
0.290121 [0.565217,0.078431,0.031746,0.129032,0.183007,0.363636,0.338462,0.180328]
f_measure
0.288726 [0.536585,0.117647,0.028986,0.15625,0.206452,0.349057,0.277778,0.16]
f_measure
0.30757 [0.543536,0.19469,0.067797,0.15873,0.242424,0.337778,0.261538,0.164251]
f_measure
0.291399 [0.548387,0.057692,0.0625,0.16,0.207317,0.350877,0.32,0.198198]
f_measure
0.317089 [0.551724,0.165138,0.032258,0.114754,0.270588,0.434389,0.253968,0.184332]
f_measure
0.297325 [0.497175,0.195122,0.033898,0.133333,0.227545,0.40367,0.274194,0.192469]
f_measure
0.312306 [0.533693,0.136752,0.060606,0.162602,0.251497,0.413793,0.314961,0.165217]
f_measure
0.285331 [0.524862,0.141593,0.1,0.242424,0.158537,0.297297,0.184874,0.172414]
f_measure
0.300711 [0.502793,0.137931,0.09375,0.176,0.227545,0.410714,0.236111,0.194175]
f_measure
0.320771 [0.552846,0.149533,0.086957,0.163934,0.277457,0.372093,0.306569,0.2]
kappa
0.204258
kappa
0.191114
kappa
0.201965
kappa
0.201159
kappa
0.219134
kappa
0.199756
kappa
0.211201
kappa
0.175649
kappa
0.20081
kappa
0.223582
kb_relative_information_score
179.801715
kb_relative_information_score
171.748162
kb_relative_information_score
181.246362
kb_relative_information_score
180.20644
kb_relative_information_score
188.46068
kb_relative_information_score
175.217909
kb_relative_information_score
175.288185
kb_relative_information_score
160.692794
kb_relative_information_score
181.284748
kb_relative_information_score
200.077525
mean_absolute_error
0.17455
mean_absolute_error
0.176746
mean_absolute_error
0.173343
mean_absolute_error
0.174092
mean_absolute_error
0.170776
mean_absolute_error
0.176239
mean_absolute_error
0.175368
mean_absolute_error
0.179867
mean_absolute_error
0.174528
mean_absolute_error
0.167982
mean_prior_absolute_error
0.208134
mean_prior_absolute_error
0.20812
mean_prior_absolute_error
0.20812
mean_prior_absolute_error
0.208151
mean_prior_absolute_error
0.208152
mean_prior_absolute_error
0.208169
mean_prior_absolute_error
0.208169
mean_prior_absolute_error
0.208169
mean_prior_absolute_error
0.208205
mean_prior_absolute_error
0.208173
number_of_instances
702 [194,87,52,89,123,100,31,26]
number_of_instances
702 [194,87,53,89,123,100,31,25]
number_of_instances
702 [194,87,53,89,123,100,31,25]
number_of_instances
702 [194,86,53,89,123,100,31,26]
number_of_instances
702 [194,87,53,88,123,100,31,26]
number_of_instances
702 [194,87,53,89,122,100,31,26]
number_of_instances
702 [194,87,53,89,122,100,31,26]
number_of_instances
702 [194,87,53,89,122,100,31,26]
number_of_instances
702 [193,87,53,89,123,100,31,26]
number_of_instances
701 [193,87,52,89,123,100,31,26]
precision
0.376738 [0.597701,0.266667,0.090909,0.228571,0.466667,0.333333,0.222222,0.100917]
precision
0.388823 [0.565714,0.4,0.0625,0.25641,0.5,0.330357,0.176991,0.09]
precision
0.403375 [0.556757,0.423077,0.333333,0.27027,0.47619,0.304,0.171717,0.093407]
precision
0.35844 [0.573034,0.166667,0.181818,0.277778,0.414634,0.3125,0.212766,0.112245]
precision
0.395518 [0.568306,0.409091,0.111111,0.205882,0.489362,0.396694,0.168421,0.104712]
precision
0.377172 [0.55,0.333333,0.166667,0.258065,0.422222,0.372881,0.182796,0.107981]
precision
0.38836 [0.559322,0.266667,0.153846,0.294118,0.466667,0.407767,0.208333,0.093137]
precision
0.375374 [0.565476,0.307692,0.428571,0.372093,0.309524,0.270492,0.125,0.097087]
precision
0.382742 [0.545455,0.275862,0.272727,0.305556,0.431818,0.370968,0.150442,0.111111]
precision
0.407603 [0.579545,0.4,0.176471,0.30303,0.48,0.347826,0.198113,0.11413]
predictive_accuracy
0.306268
predictive_accuracy
0.294872
predictive_accuracy
0.310541
predictive_accuracy
0.307692
predictive_accuracy
0.324786
predictive_accuracy
0.301994
predictive_accuracy
0.314815
predictive_accuracy
0.283476
predictive_accuracy
0.304843
predictive_accuracy
0.326676
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
prior_entropy
2.759053
recall
0.306268 [0.536082,0.045977,0.019231,0.089888,0.113821,0.4,0.709677,0.846154]
recall
0.294872 [0.510309,0.068966,0.018868,0.11236,0.130081,0.37,0.645161,0.72]
recall
0.310541 [0.530928,0.126437,0.037736,0.11236,0.162602,0.38,0.548387,0.68]
recall
0.307692 [0.525773,0.034884,0.037736,0.11236,0.138211,0.4,0.645161,0.846154]
recall
0.324786 [0.536082,0.103448,0.018868,0.079545,0.186992,0.48,0.516129,0.769231]
recall
0.301994 [0.453608,0.137931,0.018868,0.089888,0.155738,0.44,0.548387,0.884615]
recall
0.314815 [0.510309,0.091954,0.037736,0.11236,0.172131,0.42,0.645161,0.730769]
recall
0.283476 [0.489691,0.091954,0.056604,0.179775,0.106557,0.33,0.354839,0.769231]
recall
0.304843 [0.466321,0.091954,0.056604,0.123596,0.154472,0.46,0.548387,0.769231]
recall
0.326676 [0.528497,0.091954,0.057692,0.11236,0.195122,0.4,0.677419,0.807692]
relative_absolute_error
0.838643
relative_absolute_error
0.849249
relative_absolute_error
0.832898
relative_absolute_error
0.836371
relative_absolute_error
0.82044
relative_absolute_error
0.846613
relative_absolute_error
0.842431
relative_absolute_error
0.864044
relative_absolute_error
0.838247
relative_absolute_error
0.806937
root_mean_prior_squared_error
0.322567
root_mean_prior_squared_error
0.322546
root_mean_prior_squared_error
0.322546
root_mean_prior_squared_error
0.322594
root_mean_prior_squared_error
0.322596
root_mean_prior_squared_error
0.322622
root_mean_prior_squared_error
0.322622
root_mean_prior_squared_error
0.322622
root_mean_prior_squared_error
0.322678
root_mean_prior_squared_error
0.322627
root_mean_squared_error
0.38684
root_mean_squared_error
0.388425
root_mean_squared_error
0.383724
root_mean_squared_error
0.387396
root_mean_squared_error
0.380211
root_mean_squared_error
0.388027
root_mean_squared_error
0.384607
root_mean_squared_error
0.391614
root_mean_squared_error
0.383474
root_mean_squared_error
0.375893
root_relative_squared_error
1.199253
root_relative_squared_error
1.204245
root_relative_squared_error
1.189672
root_relative_squared_error
1.200877
root_relative_squared_error
1.178598
root_relative_squared_error
1.202729
root_relative_squared_error
1.192128
root_relative_squared_error
1.213846
root_relative_squared_error
1.188412
root_relative_squared_error
1.165099
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0