8913843
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)
6850961
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
true
7684
class_weight
null
7684
criterion
"gini"
7684
max_depth
null
7684
max_features
0.2162619666534542
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
3
7684
min_samples_split
15
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
18743344
description
https://api.openml.org/data/download/18743344/description.xml
-1
18743345
predictions
https://api.openml.org/data/download/18743345/predictions.arff
area_under_roc_curve
0.9830102777777778 [1,0.977786,0.997333,0.9943,0.980692,0.994033,0.946869,0.993247,0.998861,0.946981]
average_cost
0
f_measure
0.8288774311914284 [0.992519,0.793893,0.950249,0.911839,0.817942,0.902913,0.528678,0.890476,0.964286,0.53598]
kappa
0.8099999999999999
kb_relative_information_score
1526.4891555318723
mean_absolute_error
0.07037436289748208
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8299704353816599 [0.99005,0.80829,0.945545,0.918782,0.865922,0.877358,0.527363,0.85,0.984375,0.53202]
predictive_accuracy
0.8290000000000001
prior_entropy
3.321928094887362
recall
0.829 [0.995,0.78,0.955,0.905,0.775,0.93,0.53,0.935,0.945,0.54]
relative_absolute_error
0.3909686827637773
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1632312166943514
root_relative_squared_error
0.5441040556478296
total_cost
0
area_under_roc_curve
0.980722222222222 [1,0.979444,0.994444,0.9975,0.969722,1,0.9175,0.994167,0.999444,0.955]
area_under_roc_curve
0.9818055555555557 [1,0.977778,0.997222,0.99,0.976389,0.991667,0.946389,0.99,0.998333,0.950278]
area_under_roc_curve
0.981611111111111 [1,0.981389,1,0.986389,0.988889,0.994444,0.924444,0.992778,1,0.947778]
area_under_roc_curve
0.987861111111111 [1,0.981944,0.996389,0.996389,0.992778,0.994167,0.976944,0.995833,0.998333,0.945833]
area_under_roc_curve
0.9834166666666667 [1,0.971667,0.998889,0.993611,0.993333,0.993333,0.951944,0.994444,1,0.936944]
area_under_roc_curve
0.9844166666666669 [1,0.978611,1,0.995833,0.994167,0.993333,0.944444,0.993333,0.999167,0.945278]
area_under_roc_curve
0.9829444444444444 [1,0.971111,0.9975,0.9975,0.981111,0.985556,0.971389,0.989722,1,0.935556]
area_under_roc_curve
0.9864444444444443 [1,0.974167,0.997778,0.995,0.975278,0.998056,0.961389,0.996111,0.997222,0.969444]
area_under_roc_curve
0.9831666666666666 [1,0.982222,1,0.998056,0.983056,0.987222,0.945,0.996111,1,0.94]
area_under_roc_curve
0.9788333333333332 [1,0.980833,0.991389,0.998889,0.958889,0.999722,0.928889,0.993611,0.995833,0.940278]
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
0.810688908312576 [0.974359,0.790698,0.926829,0.947368,0.829268,1,0.378378,0.871795,0.923077,0.465116]
f_measure
0.7939655503070137 [1,0.810811,0.952381,0.9,0.722222,0.818182,0.432432,0.829268,0.974359,0.5]
f_measure
0.8163937282229966 [1,0.761905,0.974359,0.8,0.820513,0.9,0.45,0.871795,1,0.585366]
f_measure
0.8454258492897773 [1,0.789474,0.974359,0.926829,0.772727,0.878049,0.666667,0.871795,0.974359,0.6]
f_measure
0.817723780092201 [1,0.702703,0.947368,0.9,0.810811,0.909091,0.55,0.844444,1,0.512821]
f_measure
0.8533741819942077 [1,0.857143,1,0.894737,0.894737,0.926829,0.571429,0.952381,0.95,0.486486]
f_measure
0.8585216617543392 [1,0.820513,0.923077,0.95,0.857143,0.883721,0.682927,0.888889,1,0.578947]
f_measure
0.8500226733795411 [1,0.761905,0.95,0.926829,0.810811,0.871795,0.666667,0.909091,0.918919,0.684211]
f_measure
0.8353095061489842 [1,0.8,0.97561,0.952381,0.833333,0.9,0.461538,0.930233,1,0.5]
f_measure
0.8076058168897826 [0.952381,0.842105,0.883721,0.918919,0.833333,0.95,0.409091,0.930233,0.894737,0.461538]
kappa
0.788888888888889
kappa
0.7722222222222223
kappa
0.7944444444444444
kappa
0.8277777777777777
kappa
0.7999999999999999
kappa
0.8388888888888889
kappa
0.8444444444444444
kappa
0.8333333333333333
kappa
0.8166666666666667
kappa
0.7833333333333334
kb_relative_information_score
151.42022152477165
kb_relative_information_score
151.86092380964678
kb_relative_information_score
151.12812906357212
kb_relative_information_score
154.4417406146082
kb_relative_information_score
151.32878456068713
kb_relative_information_score
155.24581719779678
kb_relative_information_score
153.21900195191063
kb_relative_information_score
153.6009441865688
kb_relative_information_score
155.44449009777415
kb_relative_information_score
148.79910252453539
mean_absolute_error
0.07211548228492365
mean_absolute_error
0.07101215057747154
mean_absolute_error
0.07202453365746327
mean_absolute_error
0.06881047068441166
mean_absolute_error
0.07167517007728805
mean_absolute_error
0.06774201510930258
mean_absolute_error
0.07021255146436023
mean_absolute_error
0.06988066839581242
mean_absolute_error
0.06752734609681638
mean_absolute_error
0.0727432406269707
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
0.8142068726804221 [1,0.73913,0.904762,1,0.809524,1,0.411765,0.894737,0.947368,0.434783]
precision
0.7992389228418639 [1,0.882353,0.909091,0.9,0.8125,0.75,0.470588,0.809524,1,0.458333]
precision
0.8185543403964456 [1,0.727273,1,0.8,0.842105,0.9,0.45,0.894737,1,0.571429]
precision
0.8482518796992481 [1,0.833333,1,0.904762,0.708333,0.857143,0.684211,0.894737,1,0.6]
precision
0.8216707946336429 [1,0.764706,1,0.9,0.882353,0.833333,0.55,0.76,1,0.526316]
precision
0.8545789831083949 [1,0.818182,1,0.944444,0.944444,0.904762,0.545455,0.909091,0.95,0.529412]
precision
0.8643338418510044 [1,0.842105,0.947368,0.95,1,0.826087,0.666667,0.8,1,0.611111]
precision
0.8551043607235558 [1,0.727273,0.95,0.904762,0.882353,0.894737,0.636364,0.833333,1,0.722222]
precision
0.8433887956056147 [1,0.933333,0.952381,0.909091,0.9375,0.9,0.473684,0.869565,1,0.458333]
precision
0.8174260626863602 [0.909091,0.888889,0.826087,1,0.9375,0.95,0.375,0.869565,0.944444,0.473684]
predictive_accuracy
0.81
predictive_accuracy
0.795
predictive_accuracy
0.815
predictive_accuracy
0.845
predictive_accuracy
0.82
predictive_accuracy
0.855
predictive_accuracy
0.86
predictive_accuracy
0.85
predictive_accuracy
0.835
predictive_accuracy
0.805
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
0.81 [0.95,0.85,0.95,0.9,0.85,1,0.35,0.85,0.9,0.5]
recall
0.795 [1,0.75,1,0.9,0.65,0.9,0.4,0.85,0.95,0.55]
recall
0.815 [1,0.8,0.95,0.8,0.8,0.9,0.45,0.85,1,0.6]
recall
0.845 [1,0.75,0.95,0.95,0.85,0.9,0.65,0.85,0.95,0.6]
recall
0.82 [1,0.65,0.9,0.9,0.75,1,0.55,0.95,1,0.5]
recall
0.855 [1,0.9,1,0.85,0.85,0.95,0.6,1,0.95,0.45]
recall
0.86 [1,0.8,0.9,0.95,0.75,0.95,0.7,1,1,0.55]
recall
0.85 [1,0.8,0.95,0.95,0.75,0.85,0.7,1,0.85,0.65]
recall
0.835 [1,0.7,1,1,0.75,0.9,0.45,1,1,0.55]
recall
0.805 [1,0.8,0.95,0.85,0.75,0.95,0.45,1,0.85,0.45]
relative_absolute_error
0.4006415682495763
relative_absolute_error
0.3945119476526201
relative_absolute_error
0.4001362980970186
relative_absolute_error
0.3822803926911763
relative_absolute_error
0.39819538931826737
relative_absolute_error
0.3763445283850148
relative_absolute_error
0.3900697303575572
relative_absolute_error
0.3882259355322916
relative_absolute_error
0.3751519227600914
relative_absolute_error
0.4041291145942821
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
0.16636006901054737
root_mean_squared_error
0.1676529403282941
root_mean_squared_error
0.16591443465217764
root_mean_squared_error
0.15775292294035073
root_mean_squared_error
0.16672114976219915
root_mean_squared_error
0.15755310014681995
root_mean_squared_error
0.16197279967443406
root_mean_squared_error
0.16117795351518738
root_mean_squared_error
0.15645078800144258
root_mean_squared_error
0.17011244812534088
root_relative_squared_error
0.5545335633684916
root_relative_squared_error
0.5588431344276473
root_relative_squared_error
0.5530481155072592
root_relative_squared_error
0.5258430764678361
root_relative_squared_error
0.5557371658739975
root_relative_squared_error
0.5251770004894002
root_relative_squared_error
0.5399093322481139
root_relative_squared_error
0.5372598450506249
root_relative_squared_error
0.5215026266714756
root_relative_squared_error
0.5670414937511365
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
12596.93560800224
usercpu_time_millis
12583.70523099802
usercpu_time_millis
12609.717897001246
usercpu_time_millis
12754.835716001253
usercpu_time_millis
12518.364696003118
usercpu_time_millis
12729.095688999223
usercpu_time_millis
12608.098656000948
usercpu_time_millis
12811.39131400414
usercpu_time_millis
12535.65453400006
usercpu_time_millis
12531.250020998414
usercpu_time_millis_testing
93.25905200239504
usercpu_time_millis_testing
92.14636599790538
usercpu_time_millis_testing
93.73608300302294
usercpu_time_millis_testing
96.63587500108406
usercpu_time_millis_testing
90.87634000024991
usercpu_time_millis_testing
91.14443799990113
usercpu_time_millis_testing
92.34101800029748
usercpu_time_millis_testing
96.52001300128177
usercpu_time_millis_testing
89.93693199954578
usercpu_time_millis_testing
94.91464299935615
usercpu_time_millis_training
12503.676555999846
usercpu_time_millis_training
12491.558865000115
usercpu_time_millis_training
12515.981813998224
usercpu_time_millis_training
12658.199841000169
usercpu_time_millis_training
12427.488356002868
usercpu_time_millis_training
12637.951250999322
usercpu_time_millis_training
12515.75763800065
usercpu_time_millis_training
12714.871301002859
usercpu_time_millis_training
12445.717602000514
usercpu_time_millis_training
12436.335377999058