6101801
1
Jan van Rijn
5
Supervised Classification
predictive_accuracy
6970
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1)
4135974
class_weight
null
6941
criterion
"gini"
6941
max_depth
5
6941
max_features
null
6941
max_leaf_nodes
null
6941
min_impurity_split
1e-07
6941
min_samples_leaf
1
6941
min_samples_split
2
6941
min_weight_fraction_leaf
0.0
6941
presort
false
6941
random_state
40406
6941
splitter
"best"
6941
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
"mean"
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
algorithm
"SAMME"
6971
learning_rate
0.17595575728163948
6971
n_estimators
433
6971
random_state
30383
6971
openml-pimp
openml-python
Sklearn_0.18.1.
5
arrhythmia
https://www.openml.org/data/download/5/dataset_5_arrhythmia.arff
-1
13127334
description
https://api.openml.org/data/download/13127334/description.xml
-1
13127335
predictions
https://api.openml.org/data/download/13127335/predictions.arff
area_under_roc_curve
0.8142503022205534 [0.808558,0.912043,0.980168,0.975896,0.927983,0.925059,0.208612,0.08,0.999248,0.823682,0.0,0.0,0.0,0.605469,0.961074,0.32241]
average_cost
0
kappa
0.5050197703987888
kb_relative_information_score
-39.696446009531314
mean_absolute_error
0.11524928637218795
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
0.6703539823008849
prior_entropy
2.522211812343187
recall
0.6703539823008849 [0.795918,0.568182,0.8,0.6,0.384615,0.76,0,0,0.888889,0.56,0.0,0.0,0.0,0,0.2,0.045455]
relative_absolute_error
1.3472988694129426
root_mean_prior_squared_error
0.20549825255273738
root_mean_squared_error
0.2399108833583429
root_relative_squared_error
1.1674594814219852
total_cost
0
area_under_roc_curve
0.7994578807027943 [0.788571,0.926829,1,0.988636,0.965909,1,0.0,0.177778,0.0,0.960976,0.0,0.0,0.0,0.0,0.0,0.178295]
area_under_roc_curve
0.7953178581757585 [0.742857,0.921951,1,0.988636,1,0.988636,0.0,0.288889,1,0.863415,0.0,0.0,0.0,0.0,0.911111,0.465909]
area_under_roc_curve
0.8568839558374441 [0.818,0.87,1,1,0.954545,1,0.0,0.0,1,0.975,0.0,0.0,0.0,0.0,1,0.465116]
area_under_roc_curve
0.8407751937984496 [0.834,0.96,1,1,1,0.55814,0.0,0.0,1,0.93,0.0,0.0,0.0,0.0,1,0.209302]
area_under_roc_curve
0.8207361476363179 [0.798,0.957317,1,1,0.954545,0.976744,0.0,0.0,1,0.835,0.0,0.0,0.0,0.0,0.954545,0.05814]
area_under_roc_curve
0.7937322636188207 [0.801587,0.871951,1,1,1,0.793651,0.522727,0.0,1,0.72,0.0,0.0,0.0,0.0,1,0.244186]
area_under_roc_curve
0.7773760768967801 [0.757937,0.890244,0.860465,1,0.954545,0.992063,0.227273,0.0,1,0.735,0.0,0.0,0.0,0.909091,0.0,0.383721]
area_under_roc_curve
0.8095013200912239 [0.809524,0.865854,1,1,0.909091,0.984127,0.431818,0.0,1,0.84,0.0,0.0,0.0,0.181818,0.0,0.430233]
area_under_roc_curve
0.8444462533118233 [0.797619,0.969512,1,0.909091,0.953488,1,0.0,0.0,1,0.86,0.0,0.0,0.0,0.886364,0.0,0.488372]
area_under_roc_curve
0.856942948650266 [0.922619,0.914634,1,0.954545,1,1,0.0,0.0,1,0.66,0.0,0.0,0.0,0.863636,0.0,0.214286]
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
f_measure
0.724915824915825 [0.818182,0.8,0.666667,1,1,0,0.0,0.0,1,0.5,0.0,0.0,0.0,0.0,1,0]
kappa
0.5201668984700973
kappa
0.532316630355846
kappa
0.4779582366589327
kappa
0.5984900480439259
kappa
0.64
kappa
0.3717854518736223
kappa
0.35943060498220647
kappa
0.5195729537366548
kappa
0.562780269058296
kappa
0.4730679156908665
kb_relative_information_score
-4.555391786511441
kb_relative_information_score
-3.5852634123801823
kb_relative_information_score
-5.00450015063717
kb_relative_information_score
-5.007694239520906
kb_relative_information_score
-4.51169427364613
kb_relative_information_score
-3.161638462381217
kb_relative_information_score
-3.073815212521235
kb_relative_information_score
-3.068628348802633
kb_relative_information_score
-3.759385573142245
kb_relative_information_score
-3.968434549988187
mean_absolute_error
0.11525541923079402
mean_absolute_error
0.11524788531492487
mean_absolute_error
0.11524598967266753
mean_absolute_error
0.11524831496992557
mean_absolute_error
0.11523344818009434
mean_absolute_error
0.11525617762813184
mean_absolute_error
0.1152628671691796
mean_absolute_error
0.1152477766042115
mean_absolute_error
0.11524640202106085
mean_absolute_error
0.1152484777797486
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]
precision
0.7778309409888358 [0.947368,0.8,0.5,1,1,0,0.0,0.0,1,0.363636,0.0,0.0,0.0,0,1,0]
predictive_accuracy
0.673913043478261
predictive_accuracy
0.6956521739130435
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.7111111111111111
predictive_accuracy
0.7777777777777777
predictive_accuracy
0.5777777777777778
predictive_accuracy
0.5555555555555556
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.7111111111111111
predictive_accuracy
0.6666666666666667
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
0.6739130434782609 [0.76,0.6,1,1,0.5,0.5,0.0,0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0]
recall
0.6956521739130435 [0.8,0.6,1,0.5,1,1,0.0,0,1,0.6,0.0,0.0,0.0,0.0,0,0]
recall
0.6666666666666666 [0.84,0.2,1,0.5,0,1,0.0,0.0,0,0.8,0.0,0.0,0.0,0.0,0,0]
recall
0.7111111111111111 [0.72,0.8,1,1,1,0,0.0,0.0,1,0.8,0.0,0.0,0.0,0.0,1,0]
recall
0.7777777777777778 [0.96,0.75,1,0.5,0,0.5,0.0,0.0,1,0.6,0.0,0.0,0.0,0.0,0,0]
recall
0.5777777777777777 [0.708333,0.5,1,0,1,0.333333,0,0.0,1,0.4,0.0,0.0,0.0,0.0,0,0]
recall
0.5555555555555556 [0.708333,0.75,0,1,0,1,0,0.0,1,0,0.0,0.0,0.0,0,0.0,0]
recall
0.6666666666666666 [0.75,0.5,0.5,1,0,1,0,0.0,1,0.6,0.0,0.0,0.0,0,0.0,0.5]
recall
0.7111111111111111 [0.833333,0.75,1,0,0,1,0.0,0.0,1,0.6,0.0,0.0,0.0,0,0.0,0]
recall
0.6666666666666666 [0.875,0.25,1,0,0.5,1,0.0,0.0,1,0.4,0.0,0.0,0.0,0,0.0,0]
relative_absolute_error
1.3505068255275727
relative_absolute_error
1.3484918676865016
relative_absolute_error
1.3621891637470902
relative_absolute_error
1.3622166483887372
relative_absolute_error
1.3592754567935512
relative_absolute_error
1.3378133521727624
relative_absolute_error
1.3377988330575488
relative_absolute_error
1.3376236843674254
relative_absolute_error
1.3385298367922465
relative_absolute_error
1.3392001887255702
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
0.23992364478871578
root_mean_squared_error
0.23990793382201517
root_mean_squared_error
0.23990403042135314
root_mean_squared_error
0.23990882341930672
root_mean_squared_error
0.23987793485218514
root_mean_squared_error
0.23992523740234029
root_mean_squared_error
0.23993916227151937
root_mean_squared_error
0.2399078104737491
root_mean_squared_error
0.23990486477262032
root_mean_squared_error
0.2399091683854549
root_relative_squared_error
1.1702773573807068
root_relative_squared_error
1.1685069953192404
root_relative_squared_error
1.1806041920941688
root_relative_squared_error
1.1806277791654938
root_relative_squared_error
1.178023011639719
root_relative_squared_error
1.1591646877902375
root_relative_squared_error
1.1591516694102002
root_relative_squared_error
1.1590002081465183
root_relative_squared_error
1.1597895582464972
root_relative_squared_error
1.1603738757878452
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
8866.368218999924
usercpu_time_millis
8813.643918999787
usercpu_time_millis
8922.2150720002
usercpu_time_millis
8810.1540749999
usercpu_time_millis
8609.357717999956
usercpu_time_millis
8951.850583000123
usercpu_time_millis
8910.450458000014
usercpu_time_millis
9337.236825000218
usercpu_time_millis
8923.411528000088
usercpu_time_millis
9235.283202000119
usercpu_time_millis_testing
59.8305819999041
usercpu_time_millis_testing
59.03769299993655
usercpu_time_millis_testing
58.91026300014346
usercpu_time_millis_testing
59.028050000051735
usercpu_time_millis_testing
59.06432399979167
usercpu_time_millis_testing
83.14667600006942
usercpu_time_millis_testing
64.11065700012841
usercpu_time_millis_testing
83.98003399997833
usercpu_time_millis_testing
58.88936800010924
usercpu_time_millis_testing
85.04880300006334
usercpu_time_millis_training
8806.53763700002
usercpu_time_millis_training
8754.60622599985
usercpu_time_millis_training
8863.304809000056
usercpu_time_millis_training
8751.126024999849
usercpu_time_millis_training
8550.293394000164
usercpu_time_millis_training
8868.703907000054
usercpu_time_millis_training
8846.339800999885
usercpu_time_millis_training
9253.25679100024
usercpu_time_millis_training
8864.522159999979
usercpu_time_millis_training
9150.234399000055