6102109
1
Jan van Rijn
5
Supervised Classification
predictive_accuracy
6969
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
4136282
bootstrap
true
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
0.741514690495723
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
1
6902
min_samples_split
2
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
4363
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[1, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 57, 58, 59, 60, 61, 62, 69, 70, 71, 72, 73, 74, 81, 82, 83, 84, 85, 86, 93, 94, 95, 96, 97, 98, 105, 106, 107, 108, 109, 110, 117, 118, 119, 120, 121, 122, 129, 130, 131, 132, 133, 134, 141, 142, 143, 144, 145, 146, 153, 154, 155, 156, 157, 158]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[1, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 57, 58, 59, 60, 61, 62, 69, 70, 71, 72, 73, 74, 81, 82, 83, 84, 85, 86, 93, 94, 95, 96, 97, 98, 105, 106, 107, 108, 109, 110, 117, 118, 119, 120, 121, 122, 129, 130, 131, 132, 133, 134, 141, 142, 143, 144, 145, 146, 153, 154, 155, 156, 157, 158]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
openml-pimp
openml-python
Sklearn_0.18.1.
5
arrhythmia
https://www.openml.org/data/download/5/dataset_5_arrhythmia.arff
-1
13127948
description
https://api.openml.org/data/download/13127948/description.xml
-1
13127949
predictions
https://api.openml.org/data/download/13127949/predictions.arff
area_under_roc_curve
0.8932433042737921 [0.906251,0.911041,0.994584,0.991457,0.932539,0.976206,0.345212,0.408889,1,0.937264,0.0,0.0,0.0,0.649275,0.612752,0.542389]
average_cost
0
kappa
0.6251324660963585
kb_relative_information_score
234.21149651343438
mean_absolute_error
0.049159292035398254
mean_prior_absolute_error
0.08554099538612797
number_of_instances
452 [245,44,15,15,13,25,3,2,9,50,0,0,0,4,5,22]
predictive_accuracy
0.7610619469026548
prior_entropy
2.522211812343187
recall
0.7610619469026548 [0.914286,0.568182,0.866667,0.6,0.461538,0.84,0,0,0.888889,0.76,0.0,0.0,0.0,0,0,0]
relative_absolute_error
0.5746869300911868
root_mean_prior_squared_error
0.20549825255273738
root_mean_squared_error
0.15247225193660477
root_relative_squared_error
0.7419637395577149
total_cost
0
area_under_roc_curve
0.8981587434681223 [0.92,0.939024,1,1,1,1,0.0,0.422222,0.0,0.95122,0.0,0.0,0.0,0.0,0.0,0.48062]
area_under_roc_curve
0.8554881300506963 [0.868571,0.870732,1,0.977273,0.977778,1,0.0,0.411111,1,0.880488,0.0,0.0,0.0,0.0,0.3,0.619318]
area_under_roc_curve
0.9011099365750529 [0.884,0.78,1,0.988372,1,0.976744,0.0,0.0,1,1,0.0,0.0,0.0,0.0,0.852273,0.883721]
area_under_roc_curve
0.8740104533709184 [0.891,0.9575,1,1,1,0.813953,0.0,0.0,1,0.925,0.0,0.0,0.0,0.0,0.852273,0.081395]
area_under_roc_curve
0.9200416960300681 [0.949,1,1,1,0.954545,0.988372,0.0,0.0,1,0.9275,0.0,0.0,0.0,0.0,0.852273,0.127907]
area_under_roc_curve
0.8757806599610345 [0.887897,0.881098,1,0.977273,0.988636,1,0.386364,0.0,1,0.995,0.0,0.0,0.0,0.0,0.295455,0.476744]
area_under_roc_curve
0.8750360020538693 [0.866071,0.893293,0.988372,1,1,0.984127,0.375,0.0,1,0.7775,0.0,0.0,0.0,0.977273,0.0,0.924419]
area_under_roc_curve
0.8647797697145398 [0.888889,0.945122,1,1,0.284091,1,0.386364,0.0,1,1,0.0,0.0,0.0,0.375,0.0,0.377907]
area_under_roc_curve
0.9396055577791256 [0.918651,0.963415,1,1,0.988372,1,0.0,0.0,1,0.955,0.0,0.0,0.0,0.943182,0.0,0.843023]
area_under_roc_curve
0.9395314937997865 [0.97619,0.911585,1,0.977273,1,1,0.0,0.0,1,0.975,0.0,0.0,0.0,0.363636,0.0,0.662698]
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
0.5908080059303187
kappa
0.5783040488922842
kappa
0.610236220472441
kappa
0.6559633027522935
kappa
0.7108433734939759
kappa
0.5852534562211981
kappa
0.44315545243619503
kappa
0.6621621621621622
kappa
0.6877409406322282
kappa
0.726027397260274
kb_relative_information_score
21.189659444359265
kb_relative_information_score
21.853305599905667
kb_relative_information_score
22.61380142185832
kb_relative_information_score
21.802358044098586
kb_relative_information_score
25.359960889460456
kb_relative_information_score
23.765382845889963
kb_relative_information_score
21.84199248239278
kb_relative_information_score
22.952050285515497
kb_relative_information_score
27.311214918448258
kb_relative_information_score
25.521770581505496
mean_absolute_error
0.054130434782608684
mean_absolute_error
0.051141304347826086
mean_absolute_error
0.05141666666666667
mean_absolute_error
0.050499999999999996
mean_absolute_error
0.04202777777777777
mean_absolute_error
0.04894444444444445
mean_absolute_error
0.05552777777777777
mean_absolute_error
0.04938888888888889
mean_absolute_error
0.04491666666666665
mean_absolute_error
0.043444444444444445
mean_prior_absolute_error
0.08534234485321444
mean_prior_absolute_error
0.08546427907840952
mean_prior_absolute_error
0.08460351377018045
mean_prior_absolute_error
0.08460351377018045
mean_prior_absolute_error
0.08477564102564104
mean_prior_absolute_error
0.08615265906932575
mean_prior_absolute_error
0.08615859449192784
mean_prior_absolute_error
0.08615859449192784
mean_prior_absolute_error
0.08609924026590694
mean_prior_absolute_error
0.08605769230769232
number_of_instances
46 [25,5,1,2,2,2,0,1,0,5,0,0,0,0,0,3]
number_of_instances
46 [25,5,1,2,1,2,0,1,1,5,0,0,0,0,1,2]
number_of_instances
45 [25,5,1,2,1,2,0,0,1,5,0,0,0,0,1,2]
number_of_instances
45 [25,5,1,2,1,2,0,0,1,5,0,0,0,0,1,2]
number_of_instances
45 [25,4,2,2,1,2,0,0,1,5,0,0,0,0,1,2]
number_of_instances
45 [24,4,2,1,1,3,1,0,1,5,0,0,0,0,1,2]
number_of_instances
45 [24,4,2,1,1,3,1,0,1,5,0,0,0,1,0,2]
number_of_instances
45 [24,4,2,1,1,3,1,0,1,5,0,0,0,1,0,2]
number_of_instances
45 [24,4,2,1,2,3,0,0,1,5,0,0,0,1,0,2]
number_of_instances
45 [24,4,1,1,2,3,0,0,1,5,0,0,0,1,0,3]
predictive_accuracy
0.7391304347826088
predictive_accuracy
0.7391304347826088
predictive_accuracy
0.7555555555555555
predictive_accuracy
0.7777777777777777
predictive_accuracy
0.8222222222222223
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.6444444444444444
predictive_accuracy
0.7777777777777777
predictive_accuracy
0.8
predictive_accuracy
0.8222222222222223
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
recall
0.7391304347826086 [0.92,0.4,1,1,0.5,0.5,0.0,0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0]
recall
0.7391304347826086 [0.92,0.6,1,0.5,0,1,0.0,0,1,0.6,0.0,0.0,0.0,0.0,0,0]
recall
0.7555555555555555 [0.88,0.4,1,0.5,1,1,0.0,0.0,0,1,0.0,0.0,0.0,0.0,0,0]
recall
0.7777777777777778 [0.92,0.4,1,1,1,0.5,0.0,0.0,1,0.8,0.0,0.0,0.0,0.0,0,0]
recall
0.8222222222222222 [0.96,0.75,1,0.5,0,1,0.0,0.0,1,0.8,0.0,0.0,0.0,0.0,0,0]
recall
0.7333333333333333 [0.875,0.25,1,1,1,0.666667,0,0.0,1,0.8,0.0,0.0,0.0,0.0,0,0]
recall
0.6444444444444445 [0.875,0.75,0.5,0,0,0.666667,0,0.0,1,0.2,0.0,0.0,0.0,0,0.0,0]
recall
0.7777777777777778 [0.875,0.75,0.5,1,0,1,0,0.0,1,1,0.0,0.0,0.0,0,0.0,0]
recall
0.8 [0.916667,0.75,1,0,0.5,1,0.0,0.0,1,0.8,0.0,0.0,0.0,0,0.0,0]
recall
0.8222222222222222 [1,0.75,1,0,0.5,1,0.0,0.0,1,0.8,0.0,0.0,0.0,0,0.0,0]
relative_absolute_error
0.6342740508912774
relative_absolute_error
0.598393912629934
relative_absolute_error
0.6077367756419251
relative_absolute_error
0.5969019222674335
relative_absolute_error
0.4957529930686828
relative_absolute_error
0.5681129865656217
relative_absolute_error
0.6444833287406998
relative_absolute_error
0.5732322953981813
relative_absolute_error
0.5216848200744517
relative_absolute_error
0.5048292985723152
root_mean_prior_squared_error
0.20501434405747065
root_mean_prior_squared_error
0.2053115084317244
root_mean_prior_squared_error
0.20320445414970847
root_mean_prior_squared_error
0.20320445414970847
root_mean_prior_squared_error
0.20362754588154708
root_mean_prior_squared_error
0.20698114765704212
root_mean_prior_squared_error
0.20699548523585812
root_mean_prior_squared_error
0.20699548523585812
root_mean_prior_squared_error
0.20685206472744588
root_mean_prior_squared_error
0.20675161117580884
root_mean_squared_error
0.1592193933457583
root_mean_squared_error
0.16043334658247385
root_mean_squared_error
0.15136324961275552
root_mean_squared_error
0.157685516843565
root_mean_squared_error
0.13800261672237313
root_mean_squared_error
0.1565824241591487
root_mean_squared_error
0.16791366829415644
root_mean_squared_error
0.1536030236970903
root_mean_squared_error
0.14078352176302453
root_mean_squared_error
0.1354211537718125
root_relative_squared_error
0.7766256262592296
root_relative_squared_error
0.7814142899633186
root_relative_squared_error
0.7448815541279447
root_relative_squared_error
0.7759943919703258
root_relative_squared_error
0.6777207677130831
root_relative_squared_error
0.7565057297807543
root_relative_squared_error
0.8111948340459192
root_relative_squared_error
0.7420597774007944
root_relative_squared_error
0.6806000314694701
root_relative_squared_error
0.654994430281168
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
3332.961155000021
usercpu_time_millis
3151.695301000018
usercpu_time_millis
3201.2465669999983
usercpu_time_millis
3147.1989140000005
usercpu_time_millis
3242.477855999823
usercpu_time_millis
3201.7049759999736
usercpu_time_millis
3180.141327000001
usercpu_time_millis
3023.348419000058
usercpu_time_millis
3179.8780369999804
usercpu_time_millis
3266.798896999944
usercpu_time_millis_testing
25.18812599987541
usercpu_time_millis_testing
25.031333000015366
usercpu_time_millis_testing
24.612365000166392
usercpu_time_millis_testing
24.633168000036676
usercpu_time_millis_testing
24.815494999984367
usercpu_time_millis_testing
24.84758100013096
usercpu_time_millis_testing
24.841829000024518
usercpu_time_millis_testing
24.665720000029978
usercpu_time_millis_testing
24.710815999924307
usercpu_time_millis_testing
24.763619999930597
usercpu_time_millis_training
3307.7730290001455
usercpu_time_millis_training
3126.6639680000026
usercpu_time_millis_training
3176.634201999832
usercpu_time_millis_training
3122.565745999964
usercpu_time_millis_training
3217.6623609998387
usercpu_time_millis_training
3176.8573949998427
usercpu_time_millis_training
3155.2994979999767
usercpu_time_millis_training
2998.682699000028
usercpu_time_millis_training
3155.167221000056
usercpu_time_millis_training
3242.0352770000136