10154573
7789
Sarim Zafar
41
Supervised Classification
8945
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(2)
8080242
class_weight
null
8906
criterion
"gini"
8906
max_depth
4
8906
max_features
null
8906
max_leaf_nodes
null
8906
min_impurity_decrease
0.0
8906
min_impurity_split
null
8906
min_samples_leaf
1
8906
min_samples_split
2
8906
min_weight_fraction_leaf
0.0
8906
presort
false
8906
random_state
60416
8906
splitter
"best"
8906
memory
null
8945
copy
true
8946
fill_value
null
8946
missing_values
NaN
8946
strategy
"mean"
8946
verbose
0
8946
openml-python
Sklearn_0.20.2.
42
soybean
https://www.openml.org/data/download/42/dataset_42_soybean.arff
-1
21229713
description
https://api.openml.org/data/download/21229713/description.xml
-1
21229714
predictions
https://api.openml.org/data/download/21229714/predictions.arff
area_under_roc_curve
0.9499010719316741 [0.965385,0.989027,0.945173,0.987166,0.969466,0.976169,0.842647,0.965019,0.793778,0.778017,0.948982,0.970586,0.96184,0.965288,0.946893,0.91502,0.96893,0.924803,0.956481]
average_cost
0
kappa
0.6126104835279104
kb_relative_information_score
442.1186561359975
mean_absolute_error
0.045868802880883686
mean_prior_absolute_error
0.09611570064679377
number_of_instances
683 [20,20,20,88,44,20,20,92,20,20,20,44,20,91,91,15,14,16,8]
predictive_accuracy
0.6486090775988287
prior_entropy
3.857247777958738
recall
0.6486090775988287 [0.6,0.9,0,0.806818,0.613636,0.9,0,0.880435,0,0.2,0.15,0.772727,0.85,0.967033,0.703297,0,0.428571,0,0]
relative_absolute_error
0.4772248714020457
root_mean_prior_squared_error
0.21910963855275536
root_mean_squared_error
0.15336906504403372
root_relative_squared_error
0.6999649401872697
total_cost
0
area_under_roc_curve
0.9444206304363502 [0.962687,1,0.947761,0.975926,0.996154,0.947761,0.869403,0.95463,0.679104,0.615672,0.992537,0.976923,0.985075,0.966102,0.933333,0.941176,1,0.947761,1]
area_under_roc_curve
0.9304448550276445 [0.925373,0.977612,0.925373,0.987037,0.944231,1,0.910448,0.952542,0.80597,0.615672,0.966418,0.921154,0.80597,0.932407,0.948148,0.919118,0.925373,0.925373,0.919118]
area_under_roc_curve
0.9367057331434058 [0.91791,0.973881,0.91791,0.98873,0.894231,1,0.776119,0.932203,0.899254,0.91791,0.996269,0.975,0.977612,0.941667,0.913889,0.91791,0.911765,0.91791,0.911765]
area_under_roc_curve
0.9581985906671919 [0.969697,1,0.916667,0.977083,0.992188,0.916667,0.829545,0.991525,0.82197,1,0.920455,0.961905,0.94697,0.974576,0.951724,0.916667,1,0.910448,0.962687]
area_under_roc_curve
0.9645009291049017 [0.984848,0.969697,0.984848,0.992467,0.960938,0.939394,0.939394,0.982109,0.863636,0.882576,0.969697,0.960317,0.977273,0.973635,0.963277,0.939394,0.932836,0.932836,0.970149]
area_under_roc_curve
0.9578117078842515 [0.962121,1,0.909091,0.968927,1,0.909091,0.761364,0.998117,0.909091,0.659091,0.92803,0.984127,0.992424,0.983051,0.990584,0.909091,0.992537,0.902985,0.970149]
area_under_roc_curve
0.9667971060435455 [0.984848,0.992424,0.984848,0.988701,0.944444,0.939394,0.799242,0.997175,0.852273,0.939394,0.969697,1,0.992424,0.966102,0.979284,0.939394,0.932836,0.932836,0.985075]
area_under_roc_curve
0.9322580453642144 [0.931818,0.962121,0.931818,0.990584,0.952381,1,0.893939,0.94162,0.772727,0.333333,0.931818,0.964844,0.969697,0.966102,0.954802,0.925373,0.925373,0.931818,0.925373]
area_under_roc_curve
0.9440742215080116 [0.969697,1,0.909091,0.968927,0.984127,0.909091,0.825758,0.951977,0.636364,0.912879,0.863636,0.984375,0.977273,0.974576,0.950094,0.902985,1,0.909091,0.0]
area_under_roc_curve
0.9527995511973965 [0.916667,0.950758,0.916667,0.99435,0.990476,1,0.890152,0.975518,0.856061,0.916667,0.973485,0.941406,0.992424,0.949153,0.933145,0.910448,0.916667,0.916667,0.0]
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
average_cost
0
kappa
0.6150627615062761
kappa
0.5805471124620061
kappa
0.5715271389144435
kappa
0.6357438519600682
kappa
0.6453295400663822
kappa
0.6935483870967741
kappa
0.6588628762541806
kappa
0.5641025641025641
kappa
0.583313693141645
kappa
0.5799477310525065
kb_relative_information_score
45.83220755943352
kb_relative_information_score
41.727324770246156
kb_relative_information_score
43.07316594068443
kb_relative_information_score
45.12352647745638
kb_relative_information_score
45.988696906447686
kb_relative_information_score
46.71646905284641
kb_relative_information_score
47.13324476545645
kb_relative_information_score
40.988137784528796
kb_relative_information_score
42.868721217874274
kb_relative_information_score
42.667161661022426
mean_absolute_error
0.04419997765492225
mean_absolute_error
0.049466219406430666
mean_absolute_error
0.050231896759890704
mean_absolute_error
0.04341079771670318
mean_absolute_error
0.042930140415942904
mean_absolute_error
0.041269625758265094
mean_absolute_error
0.04194711023234522
mean_absolute_error
0.049798823620115916
mean_absolute_error
0.04647809782203646
mean_absolute_error
0.0488628146401462
mean_prior_absolute_error
0.09610766666449348
mean_prior_absolute_error
0.09610549351205337
mean_prior_absolute_error
0.0961989390669787
mean_prior_absolute_error
0.09610533372143275
mean_prior_absolute_error
0.09611194905312549
mean_prior_absolute_error
0.09611194905312549
mean_prior_absolute_error
0.09611194905312549
mean_prior_absolute_error
0.09610974394256125
mean_prior_absolute_error
0.09609651327917579
mean_prior_absolute_error
0.09609651327917579
number_of_instances
69 [2,2,2,9,4,2,2,9,2,2,2,4,2,10,9,1,2,2,1]
number_of_instances
69 [2,2,2,9,4,2,2,10,2,2,2,4,2,9,9,1,2,2,1]
number_of_instances
69 [2,2,2,8,4,2,2,10,2,2,2,5,2,9,9,2,1,2,1]
number_of_instances
68 [2,2,2,8,4,2,2,9,2,2,2,5,2,9,10,2,1,1,1]
number_of_instances
68 [2,2,2,9,4,2,2,9,2,2,2,5,2,9,9,2,1,1,1]
number_of_instances
68 [2,2,2,9,4,2,2,9,2,2,2,5,2,9,9,2,1,1,1]
number_of_instances
68 [2,2,2,9,5,2,2,9,2,2,2,4,2,9,9,2,1,1,1]
number_of_instances
68 [2,2,2,9,5,2,2,9,2,2,2,4,2,9,9,1,1,2,1]
number_of_instances
68 [2,2,2,9,5,2,2,9,2,2,2,4,2,9,9,1,2,2,0]
number_of_instances
68 [2,2,2,9,5,2,2,9,2,2,2,4,2,9,9,1,2,2,0]
predictive_accuracy
0.6521739130434783
predictive_accuracy
0.6231884057971014
predictive_accuracy
0.6086956521739131
predictive_accuracy
0.676470588235294
predictive_accuracy
0.676470588235294
predictive_accuracy
0.7205882352941176
predictive_accuracy
0.6911764705882354
predictive_accuracy
0.6029411764705883
predictive_accuracy
0.6176470588235294
predictive_accuracy
0.6176470588235294
prior_entropy
3.857247777958738
prior_entropy
3.857247777958738
prior_entropy
3.857247777958738
prior_entropy
3.857247777958738
prior_entropy
3.857247777958738
prior_entropy
3.857247777958738
prior_entropy
3.857247777958738
prior_entropy
3.857247777958738
prior_entropy
3.857247777958738
prior_entropy
3.857247777958738
recall
0.6521739130434783 [0,1,0,0.777778,0.75,1,0,0.888889,0,0,0,1,1,1,0.555556,0,1,0,0]
recall
0.6231884057971014 [1,1,0,0.888889,0.5,1,0,1,0,0,0,0.5,0,0.888889,0.777778,0,0,0,0]
recall
0.6086956521739131 [1,0.5,0,0.875,0.5,1,0,0.7,0,0,1,0.8,1,1,0.444444,0,0,0,0]
recall
0.6764705882352942 [0,1,0,1,0.5,0,0,1,0,1,0,0.8,0.5,1,0.8,0,1,0,0]
recall
0.6764705882352942 [1,1,0,0.777778,0.75,1,0,1,0,0,0,0.8,1,0.888889,0.777778,0,0,0,0]
recall
0.7205882352941176 [0,1,0,0.666667,1,1,0,1,0,0.5,0,1,1,1,0.888889,0,1,0,0]
recall
0.6911764705882353 [1,1,0,0.888889,0.6,1,0,1,0,0,0,0.75,1,1,0.777778,0,0,0,0]
recall
0.6029411764705882 [1,1,0,0.777778,0.4,1,0,0.777778,0,0,0,0.5,1,0.888889,0.777778,0,0,0,0]
recall
0.6176470588235294 [0,1,0,0.666667,0.6,1,0,0.555556,0,0.5,0,1,1,1,0.666667,0,1,0,0.0]
recall
0.6176470588235294 [1,0.5,0,0.777778,0.6,1,0,0.888889,0,0,0.5,0.5,1,1,0.555556,0,0,0,0.0]
relative_absolute_error
0.4599006425701907
relative_absolute_error
0.5147075114933645
relative_absolute_error
0.5221668476501248
relative_absolute_error
0.4517001922342006
relative_absolute_error
0.44666808694321075
relative_absolute_error
0.42939120645085943
relative_absolute_error
0.43644011640175073
relative_absolute_error
0.518145419780512
relative_absolute_error
0.4836606057392544
relative_absolute_error
0.5084764573943685
root_mean_prior_squared_error
0.2190913045385832
root_mean_prior_squared_error
0.2190863450148778
root_mean_prior_squared_error
0.2192995032527512
root_mean_prior_squared_error
0.21908598033958607
root_mean_prior_squared_error
0.21910107738906764
root_mean_prior_squared_error
0.21910107738906764
root_mean_prior_squared_error
0.21910107738906764
root_mean_prior_squared_error
0.21909604515482695
root_mean_prior_squared_error
0.2190658493218432
root_mean_prior_squared_error
0.2190658493218432
root_mean_squared_error
0.15313919902286985
root_mean_squared_error
0.16292582823464777
root_mean_squared_error
0.16231867571783493
root_mean_squared_error
0.14632707722881103
root_mean_squared_error
0.14695061848056545
root_mean_squared_error
0.1400234671105287
root_mean_squared_error
0.14384291662272758
root_mean_squared_error
0.16225277450320724
root_mean_squared_error
0.15482976016090302
root_mean_squared_error
0.15871443898623533
root_relative_squared_error
0.6989743355875686
root_relative_squared_error
0.7436603510071964
root_relative_squared_error
0.7401689165285356
root_relative_squared_error
0.6678979503937321
root_relative_squared_error
0.6706978360476914
root_relative_squared_error
0.639081600050203
root_relative_squared_error
0.6565139630386173
root_relative_squared_error
0.7405554691256491
root_relative_squared_error
0.7067726925041294
root_relative_squared_error
0.7245056200113515
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
usercpu_time_millis
2.186999999999273
usercpu_time_millis
2.234000000008507
usercpu_time_millis
2.152999999992744
usercpu_time_millis
2.1569999999897504
usercpu_time_millis
2.1020000000007144
usercpu_time_millis
2.0580000000052223
usercpu_time_millis
2.152999999992744
usercpu_time_millis
2.1069999999880906
usercpu_time_millis
2.1320000000031314
usercpu_time_millis
2.149999999993213
usercpu_time_millis_testing
0.3600000000005821
usercpu_time_millis_testing
0.4120000000042978
usercpu_time_millis_testing
0.3570000000010509
usercpu_time_millis_testing
0.4099999999951365
usercpu_time_millis_testing
0.3570000000010509
usercpu_time_millis_testing
0.3560000000035757
usercpu_time_millis_testing
0.3570000000010509
usercpu_time_millis_testing
0.35799999999852616
usercpu_time_millis_testing
0.3560000000035757
usercpu_time_millis_testing
0.3719999999987067
usercpu_time_millis_training
1.8269999999986908
usercpu_time_millis_training
1.8220000000042091
usercpu_time_millis_training
1.7959999999916931
usercpu_time_millis_training
1.746999999994614
usercpu_time_millis_training
1.7449999999996635
usercpu_time_millis_training
1.7020000000016466
usercpu_time_millis_training
1.7959999999916931
usercpu_time_millis_training
1.7489999999895645
usercpu_time_millis_training
1.7759999999995557
usercpu_time_millis_training
1.7779999999945062