8917180
1935
Hilde Weerts
14
Supervised Classification
8315
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1)
6854170
categorical_features
[]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
bootstrap
false
7684
class_weight
null
7684
criterion
"gini"
7684
max_depth
null
7684
max_features
0.5955457362671953
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
20
7684
min_samples_split
2
7684
min_weight_fraction_leaf
0.0
7684
n_estimators
500
7684
n_jobs
1
7684
oob_score
false
7684
random_state
1
7684
verbose
0
7684
warm_start
false
7684
memory
null
8315
axis
0
8316
categorical_features
[]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
openml-python
Sklearn_0.19.1.
study_98
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18749988
description
https://api.openml.org/data/download/18749988/description.xml
-1
18749989
predictions
https://api.openml.org/data/download/18749989/predictions.arff
area_under_roc_curve
0.9766858333333333 [0.9998,0.963731,0.993581,0.981244,0.964644,0.991033,0.941181,0.990233,0.995808,0.945603]
average_cost
0
f_measure
0.8014844266318972 [0.97284,0.743276,0.942643,0.85641,0.727273,0.881188,0.538272,0.862559,0.938144,0.552239]
kappa
0.7794444444444444
kb_relative_information_score
1511.2391514259166
mean_absolute_error
0.0679800154316832
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8030769621693725 [0.960976,0.727273,0.940299,0.878947,0.781609,0.872549,0.531707,0.81982,0.968085,0.549505]
predictive_accuracy
0.8015000000000001
prior_entropy
3.321928094887362
recall
0.8015 [0.985,0.76,0.945,0.835,0.68,0.89,0.545,0.91,0.91,0.555]
relative_absolute_error
0.37766675239822833
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1703539012993766
root_relative_squared_error
0.56784633766458
total_cost
0
area_under_roc_curve
0.9771666666666668 [1,0.961944,0.991944,0.990278,0.959722,0.999444,0.929722,0.988056,0.992778,0.957778]
area_under_roc_curve
0.9756944444444444 [0.999167,0.973333,0.992222,0.981667,0.946667,0.986111,0.953333,0.987222,0.993056,0.944167]
area_under_roc_curve
0.9706111111111112 [1,0.970833,0.999722,0.957222,0.957222,0.989444,0.905833,0.99,1,0.935833]
area_under_roc_curve
0.9818888888888887 [1,0.958889,0.991111,0.991111,0.983333,0.994167,0.970556,0.993611,0.999167,0.936944]
area_under_roc_curve
0.9818888888888888 [1,0.959722,0.998333,0.993056,0.981944,0.994167,0.955556,0.990556,0.999444,0.946111]
area_under_roc_curve
0.9810555555555556 [0.999167,0.959167,1,0.980833,0.988889,0.988889,0.948333,0.992222,0.996944,0.956111]
area_under_roc_curve
0.9784999999999999 [0.999444,0.9725,0.984444,0.990278,0.983056,0.981944,0.961389,0.985556,0.999444,0.926944]
area_under_roc_curve
0.975361111111111 [1,0.969167,0.998333,0.966389,0.935833,0.994722,0.943889,0.993889,0.987778,0.963611]
area_under_roc_curve
0.9783055555555555 [1,0.951944,0.999722,0.997222,0.977778,0.984167,0.931944,0.994167,1,0.946111]
area_under_roc_curve
0.9709722222222221 [1,0.972778,0.985,0.970833,0.941944,0.996944,0.913611,0.993889,0.990278,0.944444]
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
0.8006819910791908 [0.95,0.772727,0.883721,0.888889,0.744186,0.974359,0.473684,0.810811,0.923077,0.585366]
f_measure
0.771129426129426 [0.95,0.820513,0.871795,0.820513,0.611111,0.761905,0.571429,0.809524,0.923077,0.571429]
f_measure
0.7679268634189969 [1,0.682927,0.974359,0.736842,0.648649,0.829268,0.428571,0.820513,1,0.55814]
f_measure
0.8096498624759494 [1,0.666667,0.95,0.904762,0.695652,0.871795,0.648649,0.820513,0.974359,0.564103]
f_measure
0.8148394459317047 [0.97561,0.666667,0.974359,0.904762,0.742857,0.909091,0.619048,0.826087,0.974359,0.555556]
f_measure
0.8015941123244761 [0.97561,0.727273,0.97561,0.810811,0.736842,0.9,0.55,0.930233,0.923077,0.486486]
f_measure
0.8082318113223866 [0.952381,0.772727,0.918919,0.85,0.787879,0.837209,0.631579,0.844444,0.974359,0.512821]
f_measure
0.8173885382280165 [1,0.75,0.97561,0.85,0.742857,0.871795,0.545455,0.930233,0.888889,0.619048]
f_measure
0.8386095160657061 [0.974359,0.810811,0.97561,0.952381,0.833333,0.923077,0.473684,0.909091,0.97561,0.55814]
f_measure
0.7822967926350846 [0.952381,0.755556,0.926829,0.823529,0.742857,0.947368,0.454545,0.909091,0.810811,0.5]
kappa
0.7777777777777778
kappa
0.7444444444444445
kappa
0.7388888888888889
kappa
0.788888888888889
kappa
0.7999999999999999
kappa
0.7833333333333334
kappa
0.788888888888889
kappa
0.7944444444444444
kappa
0.8222222222222222
kappa
0.7555555555555555
kb_relative_information_score
150.0589068865931
kb_relative_information_score
148.43071577144767
kb_relative_information_score
147.0799767415434
kb_relative_information_score
153.00965827702075
kb_relative_information_score
152.75432697669459
kb_relative_information_score
153.2143653612759
kb_relative_information_score
151.20637439944704
kb_relative_information_score
152.85996725525487
kb_relative_information_score
154.4872027778212
kb_relative_information_score
148.1376569788192
mean_absolute_error
0.070183651266915
mean_absolute_error
0.06915083484366034
mean_absolute_error
0.07040308536000864
mean_absolute_error
0.06599006438368905
mean_absolute_error
0.06724572154714922
mean_absolute_error
0.06620063843570793
mean_absolute_error
0.06878807317048492
mean_absolute_error
0.06588664760010456
mean_absolute_error
0.06536766672333963
mean_absolute_error
0.07058377098577223
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.8081222397425789 [0.95,0.708333,0.826087,1,0.695652,1,0.5,0.882353,0.947368,0.571429]
precision
0.7754724880382774 [0.95,0.842105,0.894737,0.842105,0.6875,0.727273,0.545455,0.772727,0.947368,0.545455]
precision
0.7732785909593018 [1,0.666667,1,0.777778,0.705882,0.809524,0.409091,0.842105,1,0.521739]
precision
0.8134903331962156 [1,0.684211,0.95,0.863636,0.615385,0.894737,0.705882,0.842105,1,0.578947]
precision
0.8212695637695638 [0.952381,0.75,1,0.863636,0.866667,0.833333,0.590909,0.730769,1,0.625]
precision
0.8027904693532638 [0.952381,0.666667,0.952381,0.882353,0.777778,0.9,0.55,0.869565,0.947368,0.529412]
precision
0.8203015394216766 [0.909091,0.708333,1,0.85,1,0.782609,0.666667,0.76,1,0.526316]
precision
0.8274258769453278 [1,0.75,0.952381,0.85,0.866667,0.894737,0.5,0.869565,1,0.590909]
precision
0.8436146639850031 [1,0.882353,0.952381,0.909091,0.9375,0.947368,0.5,0.833333,0.952381,0.521739]
precision
0.7992872421695952 [0.909091,0.68,0.904762,1,0.866667,1,0.416667,0.833333,0.882353,0.5]
predictive_accuracy
0.8
predictive_accuracy
0.77
predictive_accuracy
0.765
predictive_accuracy
0.81
predictive_accuracy
0.82
predictive_accuracy
0.805
predictive_accuracy
0.81
predictive_accuracy
0.815
predictive_accuracy
0.84
predictive_accuracy
0.78
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.8 [0.95,0.85,0.95,0.8,0.8,0.95,0.45,0.75,0.9,0.6]
recall
0.77 [0.95,0.8,0.85,0.8,0.55,0.8,0.6,0.85,0.9,0.6]
recall
0.765 [1,0.7,0.95,0.7,0.6,0.85,0.45,0.8,1,0.6]
recall
0.81 [1,0.65,0.95,0.95,0.8,0.85,0.6,0.8,0.95,0.55]
recall
0.82 [1,0.6,0.95,0.95,0.65,1,0.65,0.95,0.95,0.5]
recall
0.805 [1,0.8,1,0.75,0.7,0.9,0.55,1,0.9,0.45]
recall
0.81 [1,0.85,0.85,0.85,0.65,0.9,0.6,0.95,0.95,0.5]
recall
0.815 [1,0.75,1,0.85,0.65,0.85,0.6,1,0.8,0.65]
recall
0.84 [0.95,0.75,1,1,0.75,0.9,0.45,1,1,0.6]
recall
0.78 [1,0.85,0.95,0.7,0.65,0.9,0.5,1,0.75,0.5]
relative_absolute_error
0.38990917370508377
relative_absolute_error
0.38417130468700234
relative_absolute_error
0.3911282520000484
relative_absolute_error
0.36661146879827294
relative_absolute_error
0.37358734192860715
relative_absolute_error
0.3677813246428223
relative_absolute_error
0.38215596205825003
relative_absolute_error
0.36603693111169244
relative_absolute_error
0.3631537040185539
relative_absolute_error
0.3921320610320684
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.17290411944053796
root_mean_squared_error
0.17877677192133645
root_mean_squared_error
0.1793101725657851
root_mean_squared_error
0.16546119519316607
root_mean_squared_error
0.1668979676863048
root_mean_squared_error
0.16469898135247496
root_mean_squared_error
0.17045083034369402
root_mean_squared_error
0.16596329264780238
root_mean_squared_error
0.16311936990446516
root_mean_squared_error
0.17502025052829553
root_relative_squared_error
0.5763470648017937
root_relative_squared_error
0.595922573071122
root_relative_squared_error
0.597700575219284
root_relative_squared_error
0.551537317310554
root_relative_squared_error
0.5563265589543497
root_relative_squared_error
0.5489966045082503
root_relative_squared_error
0.5681694344789804
root_relative_squared_error
0.553210975492675
root_relative_squared_error
0.5437312330148842
root_relative_squared_error
0.5834008350943187
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
38616.086567999446
usercpu_time_millis
38979.469054997026
usercpu_time_millis
39142.67020799889
usercpu_time_millis
35469.342114003666
usercpu_time_millis
38791.09986200638
usercpu_time_millis
39149.23345999705
usercpu_time_millis
39107.03032400488
usercpu_time_millis
37920.945527992444
usercpu_time_millis
38169.815251007094
usercpu_time_millis
39108.71346400381
usercpu_time_millis_testing
91.364022999187
usercpu_time_millis_testing
90.91387399530504
usercpu_time_millis_testing
90.1453889964614
usercpu_time_millis_testing
96.50086799956625
usercpu_time_millis_testing
90.55905700370204
usercpu_time_millis_testing
89.14894199551782
usercpu_time_millis_testing
88.79932600393659
usercpu_time_millis_testing
63.18564099638024
usercpu_time_millis_testing
92.69496500201058
usercpu_time_millis_testing
90.16044200689066
usercpu_time_millis_training
38524.72254500026
usercpu_time_millis_training
38888.55518100172
usercpu_time_millis_training
39052.52481900243
usercpu_time_millis_training
35372.8412460041
usercpu_time_millis_training
38700.540805002674
usercpu_time_millis_training
39060.08451800153
usercpu_time_millis_training
39018.230998000945
usercpu_time_millis_training
37857.759886996064
usercpu_time_millis_training
38077.12028600508
usercpu_time_millis_training
39018.55302199692