8915016
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)
6852089
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
0.8706145468978171
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
12
7684
min_samples_split
13
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
18745676
description
https://api.openml.org/data/download/18745676/description.xml
-1
18745677
predictions
https://api.openml.org/data/download/18745677/predictions.arff
area_under_roc_curve
0.9710231944444445 [0.999736,0.958172,0.987353,0.974647,0.947113,0.988336,0.934689,0.987442,0.994314,0.938431]
average_cost
0
f_measure
0.7790731081684836 [0.977887,0.703963,0.891688,0.837696,0.708995,0.849246,0.518337,0.84689,0.934726,0.521303]
kappa
0.7533333333333334
kb_relative_information_score
1528.6450974875652
mean_absolute_error
0.06125524629477544
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.78245424629005 [0.961353,0.659389,0.898477,0.879121,0.752809,0.853535,0.507177,0.811927,0.978142,0.522613]
predictive_accuracy
0.778
prior_entropy
3.321928094887362
recall
0.778 [0.995,0.755,0.885,0.8,0.67,0.845,0.53,0.885,0.895,0.52]
relative_absolute_error
0.3403069238598531
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17438834730812727
root_relative_squared_error
0.581294491027082
total_cost
0
area_under_roc_curve
0.9743611111111111 [0.999444,0.962778,0.985556,0.9825,0.956389,0.998889,0.926944,0.98,0.996944,0.954167]
area_under_roc_curve
0.9660416666666667 [0.998889,0.972222,0.973611,0.985833,0.912222,0.985833,0.934167,0.983889,0.975972,0.937778]
area_under_roc_curve
0.9642222222222222 [1,0.953056,0.995833,0.946667,0.960556,0.987222,0.891667,0.984722,1,0.9225]
area_under_roc_curve
0.9784999999999999 [1,0.946389,0.987778,0.991111,0.974722,0.997778,0.958611,0.991111,0.9975,0.94]
area_under_roc_curve
0.9797222222222223 [1,0.962778,0.998333,0.993333,0.973333,0.988611,0.945556,0.990556,0.9975,0.947222]
area_under_roc_curve
0.9783333333333336 [1,0.961667,1,0.973333,0.979722,0.991667,0.936667,0.993056,0.998333,0.948889]
area_under_roc_curve
0.9720555555555553 [1,0.975833,0.973333,0.981944,0.952778,0.981389,0.960833,0.985,0.999167,0.910278]
area_under_roc_curve
0.9688472222222222 [1,0.963056,0.9975,0.943611,0.905417,0.996111,0.943333,0.993333,0.988611,0.9575]
area_under_roc_curve
0.9751388888888889 [1,0.9475,0.998889,0.996111,0.945556,0.974444,0.943611,0.990833,1,0.954444]
area_under_roc_curve
0.9602499999999999 [1,0.950278,0.976667,0.958889,0.918056,0.991389,0.908889,0.992222,0.991944,0.914167]
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
0.768695302997522 [0.97561,0.693878,0.829268,0.888889,0.666667,0.864865,0.512821,0.722222,0.947368,0.585366]
f_measure
0.7558306051482439 [0.926829,0.761905,0.8,0.871795,0.705882,0.837209,0.439024,0.780488,0.947368,0.487805]
f_measure
0.7423505878582453 [1,0.622222,0.918919,0.722222,0.697674,0.829268,0.358974,0.810811,0.97561,0.487805]
f_measure
0.790136379229134 [1,0.634146,0.883721,0.871795,0.727273,0.8,0.636364,0.829268,0.947368,0.571429]
f_measure
0.7818882195722626 [0.97561,0.631579,0.923077,0.878049,0.736842,0.820513,0.536585,0.826087,0.95,0.540541]
f_measure
0.7950960729596395 [0.97561,0.8,0.952381,0.777778,0.7,0.878049,0.577778,0.930233,0.947368,0.411765]
f_measure
0.7794283722122782 [0.97561,0.708333,0.857143,0.820513,0.727273,0.744186,0.682927,0.844444,0.947368,0.486486]
f_measure
0.7779072606979582 [1,0.666667,0.923077,0.809524,0.666667,0.871795,0.47619,0.930233,0.857143,0.577778]
f_measure
0.8270715416632701 [1,0.810811,0.952381,0.9,0.742857,0.878049,0.514286,0.863636,1,0.608696]
f_measure
0.7640406260556449 [0.952381,0.723404,0.871795,0.823529,0.722222,0.974359,0.428571,0.904762,0.810811,0.428571]
kappa
0.7388888888888889
kappa
0.7277777777777777
kappa
0.7111111111111111
kappa
0.7666666666666667
kappa
0.7611111111111112
kappa
0.7777777777777778
kappa
0.7555555555555555
kappa
0.75
kappa
0.8111111111111111
kappa
0.7333333333333334
kb_relative_information_score
152.5896531608671
kb_relative_information_score
149.47314675220798
kb_relative_information_score
146.3784890692635
kb_relative_information_score
156.51171002099304
kb_relative_information_score
154.52299155354538
kb_relative_information_score
156.65714365900556
kb_relative_information_score
152.2812296836243
kb_relative_information_score
154.24473685210407
kb_relative_information_score
158.3971203932355
kb_relative_information_score
147.58887634272097
mean_absolute_error
0.061183811191255294
mean_absolute_error
0.06391689001238696
mean_absolute_error
0.06529067277665464
mean_absolute_error
0.05783798093874351
mean_absolute_error
0.06068892528525829
mean_absolute_error
0.05937787157652439
mean_absolute_error
0.06073182130731741
mean_absolute_error
0.06024181951572717
mean_absolute_error
0.056444578936713716
mean_absolute_error
0.06683809140717345
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
0.7835896126310612 [0.952381,0.586207,0.809524,1,0.636364,0.941176,0.526316,0.8125,1,0.571429]
precision
0.7633189693601594 [0.904762,0.727273,0.8,0.894737,0.857143,0.782609,0.428571,0.761905,1,0.47619]
precision
0.7513543144946765 [1,0.56,1,0.8125,0.652174,0.809524,0.368421,0.882353,0.952381,0.47619]
precision
0.7999395227198431 [1,0.619048,0.826087,0.894737,0.666667,0.933333,0.583333,0.809524,1,0.666667]
precision
0.7836255986875181 [0.952381,0.666667,0.947368,0.857143,0.777778,0.842105,0.52381,0.730769,0.95,0.588235]
precision
0.7983179936006023 [0.952381,0.8,0.909091,0.875,0.7,0.857143,0.52,0.869565,1,0.5]
precision
0.797643660104422 [0.952381,0.607143,1,0.842105,0.923077,0.695652,0.666667,0.76,1,0.529412]
precision
0.7941460690339409 [1,0.636364,0.947368,0.772727,0.846154,0.894737,0.454545,0.869565,1,0.52]
precision
0.8345381579205109 [1,0.882353,0.909091,0.9,0.866667,0.857143,0.6,0.791667,1,0.538462]
precision
0.7810128503820455 [0.909091,0.62963,0.894737,1,0.8125,1,0.409091,0.863636,0.882353,0.409091]
predictive_accuracy
0.765
predictive_accuracy
0.755
predictive_accuracy
0.74
predictive_accuracy
0.79
predictive_accuracy
0.785
predictive_accuracy
0.8
predictive_accuracy
0.78
predictive_accuracy
0.775
predictive_accuracy
0.83
predictive_accuracy
0.76
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
0.765 [1,0.85,0.85,0.8,0.7,0.8,0.5,0.65,0.9,0.6]
recall
0.755 [0.95,0.8,0.8,0.85,0.6,0.9,0.45,0.8,0.9,0.5]
recall
0.74 [1,0.7,0.85,0.65,0.75,0.85,0.35,0.75,1,0.5]
recall
0.79 [1,0.65,0.95,0.85,0.8,0.7,0.7,0.85,0.9,0.5]
recall
0.785 [1,0.6,0.9,0.9,0.7,0.8,0.55,0.95,0.95,0.5]
recall
0.8 [1,0.8,1,0.7,0.7,0.9,0.65,1,0.9,0.35]
recall
0.78 [1,0.85,0.75,0.8,0.6,0.8,0.7,0.95,0.9,0.45]
recall
0.775 [1,0.7,0.9,0.85,0.55,0.85,0.5,1,0.75,0.65]
recall
0.83 [1,0.75,1,0.9,0.65,0.9,0.45,0.95,1,0.7]
recall
0.76 [1,0.85,0.85,0.7,0.65,0.95,0.45,0.95,0.75,0.45]
relative_absolute_error
0.3399100621736409
relative_absolute_error
0.35509383340215017
relative_absolute_error
0.3627259598703039
relative_absolute_error
0.32132211632635316
relative_absolute_error
0.33716069602921306
relative_absolute_error
0.32987706431402475
relative_absolute_error
0.33739900726287486
relative_absolute_error
0.33467677508737353
relative_absolute_error
0.31358099409285434
relative_absolute_error
0.37132273003985294
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
0.17586726565587046
root_mean_squared_error
0.1847189609658472
root_mean_squared_error
0.18809175449653784
root_mean_squared_error
0.1650700152306798
root_mean_squared_error
0.17139122930336606
root_mean_squared_error
0.16421219553401512
root_mean_squared_error
0.1750987133956381
root_mean_squared_error
0.16979036188924074
root_mean_squared_error
0.16317480903706516
root_mean_squared_error
0.1843393763941734
root_relative_squared_error
0.5862242188529019
root_relative_squared_error
0.6157298698861576
root_relative_squared_error
0.6269725149884597
root_relative_squared_error
0.5502333841022664
root_relative_squared_error
0.5713040976778871
root_relative_squared_error
0.547373985113384
root_relative_squared_error
0.5836623779854606
root_relative_squared_error
0.5659678729641361
root_relative_squared_error
0.5439160301235509
root_relative_squared_error
0.6144645879805782
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
61852.32286799874
usercpu_time_millis
60760.091897001985
usercpu_time_millis
57454.618795996794
usercpu_time_millis
61178.983909001545
usercpu_time_millis
61052.066992997425
usercpu_time_millis
63009.49135799965
usercpu_time_millis
61053.16412800312
usercpu_time_millis
60231.21388099753
usercpu_time_millis
60478.288428996166
usercpu_time_millis
61953.34042399918
usercpu_time_millis_testing
89.44257699840819
usercpu_time_millis_testing
91.01278700109106
usercpu_time_millis_testing
85.75901399672148
usercpu_time_millis_testing
95.1053890021285
usercpu_time_millis_testing
93.63773799850605
usercpu_time_millis_testing
93.33113799948478
usercpu_time_millis_testing
90.98737300155335
usercpu_time_millis_testing
94.2298319969268
usercpu_time_millis_testing
93.88046199819655
usercpu_time_millis_testing
89.23734799827798
usercpu_time_millis_training
61762.88029100033
usercpu_time_millis_training
60669.079110000894
usercpu_time_millis_training
57368.85978200007
usercpu_time_millis_training
61083.878519999416
usercpu_time_millis_training
60958.42925499892
usercpu_time_millis_training
62916.160220000165
usercpu_time_millis_training
60962.176755001565
usercpu_time_millis_training
60136.9840490006
usercpu_time_millis_training
60384.40796699797
usercpu_time_millis_training
61864.1030760009