8914849
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)
6851928
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
0.13016940720660508
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
17
7684
min_samples_split
16
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
18745344
description
https://api.openml.org/data/download/18745344/description.xml
-1
18745345
predictions
https://api.openml.org/data/download/18745345/predictions.arff
area_under_roc_curve
0.9794733333333332 [0.999975,0.969075,0.996328,0.992036,0.973872,0.992428,0.942261,0.991283,0.997664,0.939811]
average_cost
0
f_measure
0.8117339338778106 [0.997494,0.755208,0.928395,0.892231,0.790451,0.890511,0.512821,0.857798,0.972431,0.52]
kappa
0.7927777777777778
kb_relative_information_score
1363.4361110853636
mean_absolute_error
0.09177951994089645
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8122258541294106 [1,0.788043,0.917073,0.894472,0.841808,0.867299,0.526316,0.792373,0.974874,0.52]
predictive_accuracy
0.8134999999999999
prior_entropy
3.321928094887362
recall
0.8135 [0.995,0.725,0.94,0.89,0.745,0.915,0.5,0.935,0.97,0.52]
relative_absolute_error
0.5098862218938535
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1843531785831141
root_relative_squared_error
0.6145105952770377
total_cost
0
area_under_roc_curve
0.9775555555555555 [0.999722,0.968611,0.994444,0.995556,0.961111,1,0.906944,0.991667,0.999167,0.958333]
area_under_roc_curve
0.9783055555555555 [1,0.968611,0.995,0.988333,0.960278,0.993056,0.950556,0.987222,0.994444,0.945556]
area_under_roc_curve
0.9779444444444445 [1,0.972778,0.999722,0.982222,0.976389,0.993889,0.921944,0.989722,1,0.942778]
area_under_roc_curve
0.9836666666666667 [1,0.976944,0.996111,0.994444,0.990278,0.991111,0.9675,0.992778,0.993611,0.933889]
area_under_roc_curve
0.9785555555555555 [1,0.948056,0.995,0.99,0.982222,0.991389,0.949444,0.991667,1,0.937778]
area_under_roc_curve
0.9819166666666668 [1,0.965556,0.999444,0.991944,0.988889,0.989722,0.947222,0.993333,0.999722,0.943333]
area_under_roc_curve
0.979388888888889 [1,0.965556,0.9975,0.994167,0.969722,0.978611,0.97,0.989444,1,0.928889]
area_under_roc_curve
0.9829444444444444 [1,0.970278,0.998056,0.993611,0.971111,0.995556,0.950556,0.994167,0.999167,0.956944]
area_under_roc_curve
0.9809166666666665 [1,0.971389,1,0.998056,0.981389,0.989167,0.946944,0.995556,1,0.926667]
area_under_roc_curve
0.9770833333333333 [1,0.984167,0.987778,0.997778,0.954444,0.999722,0.922778,0.993056,0.991944,0.939167]
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
0.8013017044188493 [0.974359,0.85,0.883721,0.947368,0.85,0.97561,0.277778,0.85,0.97561,0.428571]
f_measure
0.7828681816770302 [1,0.810811,0.926829,0.878049,0.666667,0.837209,0.432432,0.790698,0.974359,0.511628]
f_measure
0.8195497185741086 [1,0.731707,0.974359,0.780488,0.820513,0.9,0.512821,0.85,0.97561,0.65]
f_measure
0.829846464236708 [1,0.756757,0.974359,0.926829,0.772727,0.878049,0.615385,0.85,0.974359,0.55]
f_measure
0.7847913912369339 [1,0.611111,0.947368,0.85,0.722222,0.869565,0.526316,0.808511,1,0.512821]
f_measure
0.8215930703323605 [1,0.789474,0.930233,0.871795,0.820513,0.9,0.55,0.930233,0.95,0.473684]
f_measure
0.843635719734118 [1,0.75,0.894737,0.9,0.833333,0.857143,0.7,0.869565,1,0.631579]
f_measure
0.8281242935680063 [1,0.769231,0.97561,0.878049,0.777778,0.85,0.619048,0.869565,0.947368,0.594595]
f_measure
0.8138289275264348 [1,0.742857,0.97561,0.97561,0.764706,0.9,0.421053,0.869565,1,0.488889]
f_measure
0.7895546931490449 [1,0.731707,0.809524,0.918919,0.864865,0.947368,0.439024,0.888889,0.926829,0.368421]
kappa
0.7833333333333334
kappa
0.7611111111111112
kappa
0.7999999999999999
kappa
0.8111111111111111
kappa
0.7666666666666667
kappa
0.8055555555555555
kappa
0.8277777777777777
kappa
0.8111111111111111
kappa
0.7944444444444444
kappa
0.7666666666666667
kb_relative_information_score
134.73787616684783
kb_relative_information_score
137.16391125723703
kb_relative_information_score
134.27030218567072
kb_relative_information_score
136.15623445774966
kb_relative_information_score
134.50396295060045
kb_relative_information_score
138.82227867935333
kb_relative_information_score
137.61831771239994
kb_relative_information_score
137.76687308761294
kb_relative_information_score
139.15733340054774
kb_relative_information_score
133.2390211873475
mean_absolute_error
0.0941631910949627
mean_absolute_error
0.09052671395570924
mean_absolute_error
0.09422473343525649
mean_absolute_error
0.09208026388226724
mean_absolute_error
0.09246305107238233
mean_absolute_error
0.08951623448220573
mean_absolute_error
0.09041023274070369
mean_absolute_error
0.09137256512559232
mean_absolute_error
0.08959538830234959
mean_absolute_error
0.09344282531753562
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
0.8002439770374553 [1,0.85,0.826087,1,0.85,0.952381,0.3125,0.85,0.952381,0.409091]
precision
0.7864845938375349 [1,0.882353,0.904762,0.857143,0.75,0.782609,0.470588,0.73913,1,0.478261]
precision
0.8196992481203006 [1,0.714286,1,0.761905,0.842105,0.9,0.526316,0.85,0.952381,0.65]
precision
0.8325346454371223 [1,0.823529,1,0.904762,0.708333,0.857143,0.631579,0.85,1,0.55]
precision
0.7904805817963713 [1,0.6875,1,0.85,0.8125,0.769231,0.555556,0.703704,1,0.526316]
precision
0.82093058733791 [1,0.833333,0.869565,0.894737,0.842105,0.9,0.55,0.869565,0.95,0.5]
precision
0.8486023698523698 [1,0.75,0.944444,0.9,0.9375,0.818182,0.7,0.769231,1,0.666667]
precision
0.8331196177403606 [1,0.789474,0.952381,0.857143,0.875,0.85,0.590909,0.769231,1,0.647059]
precision
0.8253675213675215 [1,0.866667,0.952381,0.952381,0.928571,0.9,0.444444,0.769231,1,0.44]
precision
0.7950411679823445 [1,0.714286,0.772727,1,0.941176,1,0.428571,0.8,0.904762,0.388889]
predictive_accuracy
0.805
predictive_accuracy
0.785
predictive_accuracy
0.82
predictive_accuracy
0.83
predictive_accuracy
0.79
predictive_accuracy
0.825
predictive_accuracy
0.845
predictive_accuracy
0.83
predictive_accuracy
0.815
predictive_accuracy
0.79
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
0.805 [0.95,0.85,0.95,0.9,0.85,1,0.25,0.85,1,0.45]
recall
0.785 [1,0.75,0.95,0.9,0.6,0.9,0.4,0.85,0.95,0.55]
recall
0.82 [1,0.75,0.95,0.8,0.8,0.9,0.5,0.85,1,0.65]
recall
0.83 [1,0.7,0.95,0.95,0.85,0.9,0.6,0.85,0.95,0.55]
recall
0.79 [1,0.55,0.9,0.85,0.65,1,0.5,0.95,1,0.5]
recall
0.825 [1,0.75,1,0.85,0.8,0.9,0.55,1,0.95,0.45]
recall
0.845 [1,0.75,0.85,0.9,0.75,0.9,0.7,1,1,0.6]
recall
0.83 [1,0.75,1,0.9,0.7,0.85,0.65,1,0.9,0.55]
recall
0.815 [1,0.65,1,1,0.65,0.9,0.4,1,1,0.55]
recall
0.79 [1,0.75,0.85,0.85,0.8,0.9,0.45,1,0.95,0.35]
relative_absolute_error
0.52312883941646
relative_absolute_error
0.5029261886428297
relative_absolute_error
0.5234707413069811
relative_absolute_error
0.5115570215681519
relative_absolute_error
0.5136836170687913
relative_absolute_error
0.4973124137900324
relative_absolute_error
0.5022790707816878
relative_absolute_error
0.5076253618088468
relative_absolute_error
0.497752157235276
relative_absolute_error
0.5191268073196429
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
0.1879163629556544
root_mean_squared_error
0.1851756675966064
root_mean_squared_error
0.1867819162623372
root_mean_squared_error
0.18361984256045294
root_mean_squared_error
0.1871760499774954
root_mean_squared_error
0.17921248786309962
root_mean_squared_error
0.1825850186527293
root_mean_squared_error
0.18308110812569814
root_mean_squared_error
0.17895446338548546
root_mean_squared_error
0.18873779624201398
root_relative_squared_error
0.6263878765188483
root_relative_squared_error
0.6172522253220216
root_relative_squared_error
0.6226063875411243
root_relative_squared_error
0.6120661418681768
root_relative_squared_error
0.6239201665916517
root_relative_squared_error
0.5973749595436658
root_relative_squared_error
0.6086167288424313
root_relative_squared_error
0.6102703604189942
root_relative_squared_error
0.5965148779516185
root_relative_squared_error
0.6291259874733803
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
7706.930737000221
usercpu_time_millis
7526.654092001991
usercpu_time_millis
7458.835246998206
usercpu_time_millis
7627.7997299985145
usercpu_time_millis
7417.988435001462
usercpu_time_millis
6994.179049997911
usercpu_time_millis
7569.289334001951
usercpu_time_millis
7604.834514997492
usercpu_time_millis
6955.602022004314
usercpu_time_millis
7553.977538995241
usercpu_time_millis_testing
91.91146399825811
usercpu_time_millis_testing
92.75781700125663
usercpu_time_millis_testing
91.82487499856506
usercpu_time_millis_testing
91.11800499886158
usercpu_time_millis_testing
92.64455399897997
usercpu_time_millis_testing
62.98478700045962
usercpu_time_millis_testing
88.64072900178144
usercpu_time_millis_testing
87.65633499933756
usercpu_time_millis_testing
91.88306900250609
usercpu_time_millis_testing
97.96879299756256
usercpu_time_millis_training
7615.019273001963
usercpu_time_millis_training
7433.896275000734
usercpu_time_millis_training
7367.0103719996405
usercpu_time_millis_training
7536.681724999653
usercpu_time_millis_training
7325.343881002482
usercpu_time_millis_training
6931.194262997451
usercpu_time_millis_training
7480.6486050001695
usercpu_time_millis_training
7517.1781799981545
usercpu_time_millis_training
6863.718953001808
usercpu_time_millis_training
7456.0087459976785