6101502
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)
4135675
class_weight
null
6941
criterion
"gini"
6941
max_depth
2
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
27614
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
"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
algorithm
"SAMME.R"
6971
learning_rate
0.023231416838126767
6971
n_estimators
250
6971
random_state
60865
6971
openml-pimp
openml-python
Sklearn_0.18.1.
5
arrhythmia
https://www.openml.org/data/download/5/dataset_5_arrhythmia.arff
-1
13126738
description
https://api.openml.org/data/download/13126738/description.xml
-1
13126739
predictions
https://api.openml.org/data/download/13126739/predictions.arff
area_under_roc_curve
0.7262845586502961 [0.682816,0.853443,0.962471,0.975744,0.854389,0.8726,0.151448,0.144444,0.960371,0.770746,0.0,0.0,0.0,0.369978,0.667114,0.395666]
average_cost
0
kappa
0.11477047902635941
kb_relative_information_score
116.65710071618435
mean_absolute_error
0.06966334238929998
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
0.5663716814159292
prior_entropy
2.522211812343187
recall
0.5663716814159292 [0.991837,0.068182,0.333333,0,0.076923,0,0,0,0,0.08,0.0,0.0,0.0,0,0,0]
relative_absolute_error
0.8143854543057745
root_mean_prior_squared_error
0.20549825255273738
root_mean_squared_error
0.1952743951939712
root_relative_squared_error
0.9502484462433937
total_cost
0
area_under_roc_curve
0.8120790428781993 [0.815238,0.873171,0.977778,0.931818,0.806818,0.681818,0.0,0.377778,0.0,0.873171,0.0,0.0,0.0,0.0,0.0,0.682171]
area_under_roc_curve
0.8084273273562775 [0.826667,0.863415,1,1,0.977778,0.965909,0.0,0.4,1,0.829268,0.0,0.0,0.0,0.0,0.088889,0.329545]
area_under_roc_curve
0.7357387831806436 [0.64,0.79,1,0.976744,0.909091,1,0.0,0.0,0.886364,0.84,0.0,0.0,0.0,0.0,1,0.604651]
area_under_roc_curve
0.7387444209537233 [0.644,0.96,1,1,1,0.72093,0.0,0.0,1,0.915,0.0,0.0,0.0,0.0,0.954545,0.186047]
area_under_roc_curve
0.8020069097096892 [0.75,0.969512,1,0.988372,0.931818,0.976744,0.0,0.0,1,0.91,0.0,0.0,0.0,0.0,0.840909,0.104651]
area_under_roc_curve
0.7346407474796586 [0.69246,0.823171,1,1,1,0.769841,0.386364,0.0,1,0.745,0.0,0.0,0.0,0.0,0.772727,0.476744]
area_under_roc_curve
0.6404250961114263 [0.563492,0.762195,0.94186,1,0.977273,0.825397,0.090909,0.0,1,0.675,0.0,0.0,0.0,0.931818,0.0,0.255814]
area_under_roc_curve
0.776646171626319 [0.761905,0.896341,0.988372,0.977273,0.704545,0.928571,0.727273,0.0,1,0.8,0.0,0.0,0.0,0.022727,0.0,0.44186]
area_under_roc_curve
0.7115144544327754 [0.569444,0.987805,1,0.977273,0.94186,1,0.0,0.0,1,0.755,0.0,0.0,0.0,0.136364,0.0,0.813953]
area_under_roc_curve
0.6442077297295675 [0.555556,0.689024,1,0.977273,0.976744,0.984127,0.0,0.0,1,0.625,0.0,0.0,0.0,0.772727,0.0,0.373016]
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
0.20277296360485259
kappa
0.10331384015594527
kappa
0.1419491525423728
kappa
0.07467532467532459
kappa
0.22413793103448273
kappa
0.108910891089109
kappa
0.01970954356846465
kappa
0.14122137404580154
kappa
0.04448938321536909
kappa
0.07024793388429763
kb_relative_information_score
13.331849629730005
kb_relative_information_score
12.280269284394587
kb_relative_information_score
11.086858860997097
kb_relative_information_score
12.645108938993532
kb_relative_information_score
12.527243697029467
kb_relative_information_score
12.190562853071832
kb_relative_information_score
9.561602954877646
kb_relative_information_score
10.974984694403613
kb_relative_information_score
11.966351927884203
kb_relative_information_score
10.092267874802415
mean_absolute_error
0.06713100470651918
mean_absolute_error
0.06828661254173456
mean_absolute_error
0.07036209276998655
mean_absolute_error
0.06847653777169957
mean_absolute_error
0.06867979933404253
mean_absolute_error
0.06830794324491125
mean_absolute_error
0.07352862671906166
mean_absolute_error
0.06894299538910917
mean_absolute_error
0.0709250703119474
mean_absolute_error
0.07207960927132902
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
0.5652173913043478
predictive_accuracy
0.5652173913043478
predictive_accuracy
0.6
predictive_accuracy
0.5777777777777778
predictive_accuracy
0.6222222222222222
predictive_accuracy
0.5555555555555556
predictive_accuracy
0.5333333333333333
predictive_accuracy
0.5555555555555556
predictive_accuracy
0.5333333333333333
predictive_accuracy
0.5555555555555556
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
0.5652173913043478 [0.92,0,1,0,0,0,0.0,0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0]
recall
0.5652173913043478 [1,0.2,0,0,0,0,0.0,0,0,0,0.0,0.0,0.0,0.0,0,0]
recall
0.6 [1,0.2,1,0,0,0,0.0,0.0,0,0,0.0,0.0,0.0,0.0,0,0]
recall
0.5777777777777777 [1,0,1,0,0,0,0.0,0.0,0,0,0.0,0.0,0.0,0.0,0,0]
recall
0.6222222222222222 [1,0,0.5,0,0,0,0.0,0.0,0,0.4,0.0,0.0,0.0,0.0,0,0]
recall
0.5555555555555556 [1,0,0,0,1,0,0,0.0,0,0,0.0,0.0,0.0,0.0,0,0]
recall
0.5333333333333333 [1,0,0,0,0,0,0,0.0,0,0,0.0,0.0,0.0,0,0.0,0]
recall
0.5555555555555556 [1,0.25,0,0,0,0,0,0.0,0,0,0.0,0.0,0.0,0,0.0,0]
recall
0.5333333333333333 [1,0,0,0,0,0,0.0,0.0,0,0,0.0,0.0,0.0,0,0.0,0]
recall
0.5555555555555556 [1,0,1,0,0,0,0.0,0.0,0,0,0.0,0.0,0.0,0,0.0,0]
relative_absolute_error
0.7866083926095766
relative_absolute_error
0.7990076471491061
relative_absolute_error
0.8316686817656328
relative_absolute_error
0.8093817232900197
relative_absolute_error
0.8101360072673445
relative_absolute_error
0.792870980220644
relative_absolute_error
0.8534102390209084
relative_absolute_error
0.8001870944583296
relative_absolute_error
0.8237595371678544
relative_absolute_error
0.8375731133204711
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
0.18899640746535135
root_mean_squared_error
0.19175495295456485
root_mean_squared_error
0.19204253141207137
root_mean_squared_error
0.19136197432001562
root_mean_squared_error
0.18516674187474996
root_mean_squared_error
0.19919473608637975
root_mean_squared_error
0.2033218299119051
root_mean_squared_error
0.19669691033839387
root_mean_squared_error
0.19952107458447263
root_mean_squared_error
0.20399035536059815
root_relative_squared_error
0.9218691908326713
root_relative_squared_error
0.9339707959835688
root_relative_squared_error
0.9450704819225385
root_relative_squared_error
0.9417213570477739
root_relative_squared_error
0.909340340341105
root_relative_squared_error
0.9623810590539189
root_relative_squared_error
0.9822524857497876
root_relative_squared_error
0.950247345319007
root_relative_squared_error
0.9645592604906662
root_relative_squared_error
0.9866445741365338
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
2702.084554999601
usercpu_time_millis
2586.277230000178
usercpu_time_millis
2562.8502940003273
usercpu_time_millis
2569.97692799996
usercpu_time_millis
2554.2791239995495
usercpu_time_millis
2570.5583440003466
usercpu_time_millis
2662.814803999936
usercpu_time_millis
2641.7128329999287
usercpu_time_millis
2691.777892999653
usercpu_time_millis
2572.8439340005025
usercpu_time_millis_testing
58.84869700003037
usercpu_time_millis_testing
58.632666999983485
usercpu_time_millis_testing
58.484518000113894
usercpu_time_millis_testing
59.00363199998537
usercpu_time_millis_testing
58.08530399963274
usercpu_time_millis_testing
58.12782100019831
usercpu_time_millis_testing
59.913622999829386
usercpu_time_millis_testing
61.302881999836245
usercpu_time_millis_testing
58.98873399974036
usercpu_time_millis_testing
58.17723300015132
usercpu_time_millis_training
2643.2358579995707
usercpu_time_millis_training
2527.6445630001945
usercpu_time_millis_training
2504.3657760002134
usercpu_time_millis_training
2510.9732959999747
usercpu_time_millis_training
2496.1938199999167
usercpu_time_millis_training
2512.4305230001482
usercpu_time_millis_training
2602.9011810001066
usercpu_time_millis_training
2580.4099510000924
usercpu_time_millis_training
2632.7891589999126
usercpu_time_millis_training
2514.666701000351