10437836
11497
Fares Gaaloul
2275
Supervised Classification
predictive_accuracy
17593
sklearn.pipeline.Pipeline(Imputer=sklearn.impute.SimpleImputer,fs=sklearn.feature_selection.univariate_selection.SelectPercentile,rf=sklearn.ensemble.forest.RandomForestClassifier)(2)
8260898
copy
true
17467
fill_value
null
17467
missing_values
NaN
17467
strategy
"constant"
17467
verbose
0
17467
bootstrap
true
17478
class_weight
null
17478
criterion
"gini"
17478
max_depth
null
17478
max_features
"auto"
17478
max_leaf_nodes
null
17478
min_impurity_decrease
0.0
17478
min_impurity_split
null
17478
min_samples_leaf
1
17478
min_samples_split
2
17478
min_weight_fraction_leaf
0.0
17478
n_estimators
100
17478
n_jobs
null
17478
oob_score
false
17478
random_state
31461
17478
verbose
0
17478
warm_start
false
17478
memory
null
17593
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "fs", "step_name": "fs"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "rf", "step_name": "rf"}}]
17593
percentile
80
17594
score_func
{"oml-python:serialized_object": "function", "value": "sklearn.feature_selection.univariate_selection.f_classif"}
17594
openml-python
Sklearn_0.20.3.
278
meta_instanceincremental.arff
https://www.openml.org/data/download/12456/meta_instanceincremental.arff
-1
21800025
description
https://api.openml.org/data/download/21800025/description.xml
-1
21800026
predictions
https://api.openml.org/data/download/21800026/predictions.arff
area_under_roc_curve
0.9652813529574094 [0.944129,0.968519,0.97265,0.941315]
average_cost
0
f_measure
0.8772229517919174 [0.545455,0.931034,0.875,0.8]
kappa
0.7090909090909091
kb_relative_information_score
0.5970031541026837
mean_absolute_error
0.11006756756756758
mean_prior_absolute_error
0.22765072765072786
weighted_recall
0.8918918918918919 [0.375,1,0.777778,0.666667]
number_of_instances
74 [8,54,9,3]
precision
0.9058413251961639 [1,0.870968,1,1]
predictive_accuracy
0.8918918918918919
prior_entropy
1.238778199999325
relative_absolute_error
0.48349315068493115
root_mean_prior_squared_error
0.3317335939498282
root_mean_squared_error
0.20753866458396925
root_relative_squared_error
0.625618473284191
total_cost
0
unweighted_recall
0.704861111111111 [0.375,1,0.777778,0.666667]
area_under_roc_curve
1 [1,1,1,0.0]
area_under_roc_curve
0.8392857142857143 [0.0,0.833333,1,0.714286]
area_under_roc_curve
1 [0.0,1,1,1]
area_under_roc_curve
0.9226190476190477 [0.714286,0.933333,1,1]
area_under_roc_curve
1 [1,1,1,0.0]
area_under_roc_curve
1 [1,1,1,0.0]
area_under_roc_curve
1 [1,1,1,0.0]
area_under_roc_curve
0.9523809523809524 [1,1,0.666667,0.0]
area_under_roc_curve
0.9047619047619048 [0.833333,0.9,1,0.0]
area_under_roc_curve
1 [1,1,0.0,0.0]
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
f_measure
1 [1,1,1,0.0]
f_measure
1 [0.0,1,1,1]
f_measure
1 [1,1,1,0.0]
kappa
1
kappa
0.6190476190476191
kappa
1
kappa
0.75
kappa
0
kappa
0.6111111111111109
kappa
1
kappa
0.6111111111111109
kappa
0.6111111111111109
kappa
0
kb_relative_information_score
0.8133298930869697
kb_relative_information_score
0.3463384165270855
kb_relative_information_score
0.8192298094843581
kb_relative_information_score
0.5801172186983137
kb_relative_information_score
0.46841371263483184
kb_relative_information_score
0.7581288797399576
kb_relative_information_score
0.5877893936976932
kb_relative_information_score
0.45110634305668584
kb_relative_information_score
0.5763578242103637
kb_relative_information_score
0.5598709344042707
mean_absolute_error
0.06625
mean_absolute_error
0.135625
mean_absolute_error
0.07062500000000001
mean_absolute_error
0.140625
mean_absolute_error
0.13285714285714287
mean_absolute_error
0.07928571428571429
mean_absolute_error
0.11857142857142858
mean_absolute_error
0.14071428571428574
mean_absolute_error
0.11857142857142858
mean_absolute_error
0.10142857142857144
mean_prior_absolute_error
0.2203525641025641
mean_prior_absolute_error
0.22435897435897434
mean_prior_absolute_error
0.22435897435897434
mean_prior_absolute_error
0.26121794871794873
mean_prior_absolute_error
0.23076923076923078
mean_prior_absolute_error
0.23076923076923078
mean_prior_absolute_error
0.23076923076923078
mean_prior_absolute_error
0.23076923076923078
mean_prior_absolute_error
0.23076923076923078
mean_prior_absolute_error
0.18956043956043958
number_of_instances
8 [1,6,1,0]
number_of_instances
8 [0,6,1,1]
number_of_instances
8 [0,6,1,1]
number_of_instances
8 [1,5,1,1]
number_of_instances
7 [1,5,1,0]
number_of_instances
7 [1,5,1,0]
number_of_instances
7 [1,5,1,0]
number_of_instances
7 [1,5,1,0]
number_of_instances
7 [1,5,1,0]
number_of_instances
7 [1,6,0,0]
precision
1 [1,1,1,0.0]
precision
1 [0.0,1,1,1]
precision
1 [1,1,1,0.0]
predictive_accuracy
1
predictive_accuracy
0.875
predictive_accuracy
1
predictive_accuracy
0.875
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.8571428571428571
predictive_accuracy
1
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.8571428571428571
prior_entropy
1.1379007966775443
prior_entropy
1.2841414218578335
prior_entropy
1.2841414218578335
prior_entropy
1.6105707608681268
prior_entropy
1.2284519811546808
prior_entropy
1.2284519811546808
prior_entropy
1.2284519811546808
prior_entropy
1.2284519811546808
prior_entropy
1.2284519811546808
prior_entropy
0.8771046070636382
relative_absolute_error
0.30065454545454545
relative_absolute_error
0.6045
relative_absolute_error
0.31478571428571434
relative_absolute_error
0.5383435582822086
relative_absolute_error
0.5757142857142857
relative_absolute_error
0.3435714285714285
relative_absolute_error
0.5138095238095238
relative_absolute_error
0.6097619047619048
relative_absolute_error
0.5138095238095238
relative_absolute_error
0.5350724637681159
root_mean_prior_squared_error
0.32054487019246797
root_mean_prior_squared_error
0.3267344855737092
root_mean_prior_squared_error
0.3267344855737092
root_mean_prior_squared_error
0.3789649039450629
root_mean_prior_squared_error
0.33640107085645965
root_mean_prior_squared_error
0.33640107085645965
root_mean_prior_squared_error
0.33640107085645965
root_mean_prior_squared_error
0.33640107085645965
root_mean_prior_squared_error
0.33640107085645965
root_mean_prior_squared_error
0.26824781315899215
root_mean_squared_error
0.10404326023342404
root_mean_squared_error
0.2574757270113049
root_mean_squared_error
0.11308182877898643
root_mean_squared_error
0.25809397513308985
root_mean_squared_error
0.2484523524311481
root_mean_squared_error
0.16966353257466463
root_mean_squared_error
0.19159108240506095
root_mean_squared_error
0.24784787961282104
root_mean_squared_error
0.22783139129001267
root_mean_squared_error
0.18947295321496416
root_relative_squared_error
0.3245825152995033
root_relative_squared_error
0.7880273995541252
root_relative_squared_error
0.34609701078974686
root_relative_squared_error
0.681049808165098
root_relative_squared_error
0.7385599332326777
root_relative_squared_error
0.5043489669718056
root_relative_squared_error
0.5695317256787561
root_relative_squared_error
0.736763051858941
root_relative_squared_error
0.6772611951262991
root_relative_squared_error
0.7063354999381201
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
unweighted_recall
0.75 [0,1,1,1]
usercpu_time_millis
110.28367799998762
usercpu_time_millis
102.06589299998825
usercpu_time_millis
103.80193200001031
usercpu_time_millis
110.2120400000075
usercpu_time_millis
107.2721770000129
usercpu_time_millis
103.00632499999551
usercpu_time_millis
102.62736399999994
usercpu_time_millis
103.612456999997
usercpu_time_millis
126.20484999999348
usercpu_time_millis
103.13891200000569
usercpu_time_millis_testing
5.350406999994561
usercpu_time_millis_testing
4.71215299999983
usercpu_time_millis_testing
4.924424999998678
usercpu_time_millis_testing
4.862951000006888
usercpu_time_millis_testing
4.6596800000031635
usercpu_time_millis_testing
4.805392999998048
usercpu_time_millis_testing
5.035818999999719
usercpu_time_millis_testing
4.704283999998893
usercpu_time_millis_testing
5.63277899999548
usercpu_time_millis_testing
4.85888500000442
usercpu_time_millis_training
104.93327099999306
usercpu_time_millis_training
97.35373999998842
usercpu_time_millis_training
98.87750700001163
usercpu_time_millis_training
105.34908900000062
usercpu_time_millis_training
102.61249700000974
usercpu_time_millis_training
98.20093199999747
usercpu_time_millis_training
97.59154500000022
usercpu_time_millis_training
98.9081729999981
usercpu_time_millis_training
120.572070999998
usercpu_time_millis_training
98.28002700000127
wall_clock_time_millis
110.46504974365234
wall_clock_time_millis
102.07796096801758
wall_clock_time_millis
103.85751724243164
wall_clock_time_millis
109.97509956359863
wall_clock_time_millis
107.28144645690918
wall_clock_time_millis
103.0123233795166
wall_clock_time_millis
102.63299942016602
wall_clock_time_millis
103.65843772888184
wall_clock_time_millis
126.3890266418457
wall_clock_time_millis
103.1637191772461
wall_clock_time_millis_testing
5.362749099731445
wall_clock_time_millis_testing
4.714488983154297
wall_clock_time_millis_testing
4.926919937133789
wall_clock_time_millis_testing
4.8656463623046875
wall_clock_time_millis_testing
4.670858383178711
wall_clock_time_millis_testing
4.8084259033203125
wall_clock_time_millis_testing
5.039215087890625
wall_clock_time_millis_testing
4.707098007202148
wall_clock_time_millis_testing
5.6362152099609375
wall_clock_time_millis_testing
4.8618316650390625
wall_clock_time_millis_training
105.1023006439209
wall_clock_time_millis_training
97.36347198486328
wall_clock_time_millis_training
98.93059730529785
wall_clock_time_millis_training
105.10945320129395
wall_clock_time_millis_training
102.61058807373047
wall_clock_time_millis_training
98.20389747619629
wall_clock_time_millis_training
97.59378433227539
wall_clock_time_millis_training
98.95133972167969
wall_clock_time_millis_training
120.75281143188477
wall_clock_time_millis_training
98.30188751220703
weighted_recall
1 [1,1,1,0.0]
weighted_recall
0.875 [0.0,1,1,0]
weighted_recall
1 [0.0,1,1,1]
weighted_recall
0.875 [0,1,1,1]
weighted_recall
0.7142857142857143 [0,1,0,0.0]
weighted_recall
0.8571428571428571 [0,1,1,0.0]
weighted_recall
1 [1,1,1,0.0]
weighted_recall
0.8571428571428571 [1,1,0,0.0]
weighted_recall
0.8571428571428571 [0,1,1,0.0]
weighted_recall
0.8571428571428571 [0,1,0.0,0.0]