6101719
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)
4135892
class_weight
null
6941
criterion
"gini"
6941
max_depth
9
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
46679
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
0.21886465068746058
6971
n_estimators
255
6971
random_state
45650
6971
openml-pimp
openml-python
Sklearn_0.18.1.
5
arrhythmia
https://www.openml.org/data/download/5/dataset_5_arrhythmia.arff
-1
13127170
description
https://api.openml.org/data/download/13127170/description.xml
-1
13127171
predictions
https://api.openml.org/data/download/13127171/predictions.arff
area_under_roc_curve
0.884480331495664 [0.895297,0.92324,0.98749,0.984592,0.94095,0.979016,0.622123,0.214444,0.998746,0.903134,0.0,0.0,0.0,0.71317,0.918568,0.438161]
average_cost
0
kappa
0.5493409853606341
kb_relative_information_score
-39.15711963990466
mean_absolute_error
0.1150953465227251
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
0.7278761061946902
prior_entropy
2.522211812343187
recall
0.7278761061946902 [0.930612,0.5,0.866667,0.666667,0.384615,0.64,0,0,0.888889,0.54,0.0,0.0,0.0,0,0,0]
relative_absolute_error
1.3454992662078598
root_mean_prior_squared_error
0.20549825255273738
root_mean_squared_error
0.2395907289050151
root_relative_squared_error
1.165901538960914
total_cost
0
area_under_roc_curve
0.8723272498735518 [0.855238,0.95122,1,1,0.988636,1,0.0,0.555556,0.0,0.965854,0.0,0.0,0.0,0.0,0.0,0.542636]
area_under_roc_curve
0.8675869817704388 [0.868571,0.897561,1,1,1,1,0.0,0.266667,1,0.878049,0.0,0.0,0.0,0.0,0.8,0.625]
area_under_roc_curve
0.8971317829457366 [0.842,0.93,1,1,1,0.976744,0.0,0.0,1,0.99,0.0,0.0,0.0,0.0,1,0.883721]
area_under_roc_curve
0.8957622739018091 [0.906,0.955,1,1,1,0.906977,0.0,0.0,1,0.935,0.0,0.0,0.0,0.0,1,0.197674]
area_under_roc_curve
0.9159650102843522 [0.97,0.981707,1,0.988372,0.954545,0.976744,0.0,0.0,1,0.845,0.0,0.0,0.0,0.0,0.931818,0]
area_under_roc_curve
0.8687222821085554 [0.884921,0.859756,1,1,0.977273,0.984127,0.886364,0.0,1,0.85,0.0,0.0,0.0,0.0,0.977273,0.186047]
area_under_roc_curve
0.8555262794599154 [0.857143,0.896341,0.930233,1,0.909091,0.992063,0.840909,0.0,1,0.815,0.0,0.0,0.0,0.75,0.0,0.465116]
area_under_roc_curve
0.8615167489387571 [0.867063,0.896341,0.988372,1,0.636364,0.984127,0.636364,0.0,1,0.925,0.0,0.0,0.0,0.5,0.0,0.523256]
area_under_roc_curve
0.9353146678954961 [0.926587,0.97561,1,0.931818,0.976744,1,0.0,0.0,1,0.98,0.0,0.0,0.0,0.977273,0.0,0.593023]
area_under_roc_curve
0.8865474137425358 [0.930556,0.890244,1,0.954545,1,1,0.0,0.0,1,0.865,0.0,0.0,0.0,0.863636,0.0,0.285714]
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
0.5003878975950349
kappa
0.6688000000000001
kappa
0.46880269814502534
kappa
0.5591836734693877
kappa
0.6246872393661385
kappa
0.544037412314887
kappa
0.4193548387096775
kappa
0.506269592476489
kappa
0.5850796311818944
kappa
0.6240601503759398
kb_relative_information_score
-4.497805180098026
kb_relative_information_score
-3.5441409424929895
kb_relative_information_score
-4.963151531975201
kb_relative_information_score
-4.9483864634590375
kb_relative_information_score
-4.454548549787894
kb_relative_information_score
-3.086468111919615
kb_relative_information_score
-3.0263918672885226
kb_relative_information_score
-3.0147719917049303
kb_relative_information_score
-3.6947465258798946
kb_relative_information_score
-3.92670847529854
mean_absolute_error
0.11510940034633071
mean_absolute_error
0.11511017709100926
mean_absolute_error
0.1150977231109964
mean_absolute_error
0.11508740986242526
mean_absolute_error
0.11505968685794016
mean_absolute_error
0.11509140808557598
mean_absolute_error
0.11511898897412401
mean_absolute_error
0.11510105683019652
mean_absolute_error
0.11507879329727998
mean_absolute_error
0.11509817889599774
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
0.6956521739130435
predictive_accuracy
0.8043478260869565
predictive_accuracy
0.6888888888888889
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.7777777777777777
predictive_accuracy
0.7111111111111111
predictive_accuracy
0.6444444444444444
predictive_accuracy
0.6888888888888889
predictive_accuracy
0.7555555555555555
predictive_accuracy
0.7777777777777777
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
0.6956521739130435 [0.88,0.2,1,1,0.5,0.5,0.0,0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0]
recall
0.8043478260869565 [1,0.6,1,1,1,0.5,0.0,0,1,0.6,0.0,0.0,0.0,0.0,0,0]
recall
0.6888888888888889 [0.92,0.2,1,0.5,0,1,0.0,0.0,0,0.6,0.0,0.0,0.0,0.0,0,0]
recall
0.7333333333333333 [0.92,0.4,1,1,1,0,0.0,0.0,1,0.6,0.0,0.0,0.0,0.0,0,0]
recall
0.7777777777777778 [0.96,0.75,1,0,0,0.5,0.0,0.0,1,0.8,0.0,0.0,0.0,0.0,0,0]
recall
0.7111111111111111 [0.875,0.25,1,1,1,0.666667,0,0.0,1,0.6,0.0,0.0,0.0,0.0,0,0]
recall
0.6444444444444445 [0.875,0.75,0.5,1,0,0.666667,0,0.0,1,0,0.0,0.0,0.0,0,0.0,0]
recall
0.6888888888888889 [0.916667,0.5,0.5,1,0,0.333333,0,0.0,1,0.6,0.0,0.0,0.0,0,0.0,0]
recall
0.7555555555555555 [0.958333,0.75,1,0,0,1,0.0,0.0,1,0.4,0.0,0.0,0.0,0,0.0,0]
recall
0.7777777777777778 [1,0.75,1,0,0.5,1,0.0,0.0,1,0.4,0.0,0.0,0.0,0,0.0,0]
relative_absolute_error
1.3487958474109711
relative_absolute_error
1.3468805720036672
relative_absolute_error
1.36043667670413
relative_absolute_error
1.3603147757556757
relative_absolute_error
1.3572257958290104
relative_absolute_error
1.3359008222017112
relative_absolute_error
1.336128910330698
relative_absolute_error
1.3359207808453777
relative_absolute_error
1.3365831445419638
relative_absolute_error
1.337453698903214
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
0.2396199857263635
root_mean_squared_error
0.23962153946157272
root_mean_squared_error
0.23959568724948344
root_mean_squared_error
0.23957415373294141
root_mean_squared_error
0.23951646029069376
root_mean_squared_error
0.239582592294808
root_mean_squared_error
0.2396400313356021
root_mean_squared_error
0.23960270105026593
root_mean_squared_error
0.23955618802587278
root_mean_squared_error
0.2395965909937761
root_relative_squared_error
1.168796197300185
root_relative_squared_error
1.167112069322982
root_relative_squared_error
1.179086788486261
root_relative_squared_error
1.1789808187788935
root_relative_squared_error
1.1762478364789788
root_relative_squared_error
1.1575092466478392
root_relative_squared_error
1.1577065609066188
root_relative_squared_error
1.157526217430559
root_relative_squared_error
1.1581039248581773
root_relative_squared_error
1.1588620259410598
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
10169.299662999947
usercpu_time_millis
9828.217593000318
usercpu_time_millis
9949.255395999899
usercpu_time_millis
9949.415770999622
usercpu_time_millis
10065.66407199989
usercpu_time_millis
10008.663365000302
usercpu_time_millis
9916.567149000002
usercpu_time_millis
9758.655522000026
usercpu_time_millis
9935.332215000471
usercpu_time_millis
9987.948656000299
usercpu_time_millis_testing
44.64968399997815
usercpu_time_millis_testing
44.00390199998583
usercpu_time_millis_testing
43.91597899984845
usercpu_time_millis_testing
46.93018099987967
usercpu_time_millis_testing
43.500408999989304
usercpu_time_millis_testing
43.87488900010794
usercpu_time_millis_testing
43.93479500004105
usercpu_time_millis_testing
43.555061999995814
usercpu_time_millis_testing
43.86218900026506
usercpu_time_millis_testing
43.82784600011291
usercpu_time_millis_training
10124.649978999969
usercpu_time_millis_training
9784.213691000332
usercpu_time_millis_training
9905.33941700005
usercpu_time_millis_training
9902.485589999742
usercpu_time_millis_training
10022.163662999901
usercpu_time_millis_training
9964.788476000194
usercpu_time_millis_training
9872.632353999961
usercpu_time_millis_training
9715.10046000003
usercpu_time_millis_training
9891.470026000206
usercpu_time_millis_training
9944.120810000186