8911346
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)
6848584
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
0.4175776484229303
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
7
7684
min_samples_split
10
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
18738374
description
https://api.openml.org/data/download/18738374/description.xml
-1
18738375
predictions
https://api.openml.org/data/download/18738375/predictions.arff
area_under_roc_curve
0.9828022222222224 [0.999989,0.977647,0.996594,0.992533,0.978558,0.994653,0.948175,0.992431,0.998803,0.948639]
average_cost
0
f_measure
0.8285207029338962 [0.987654,0.791878,0.945,0.888325,0.8,0.904177,0.547264,0.886256,0.966752,0.567901]
kappa
0.8094444444444444
kb_relative_information_score
1582.7262640670576
mean_absolute_error
0.060422120102675114
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8297529859796706 [0.97561,0.804124,0.945,0.902062,0.844444,0.888889,0.544554,0.842342,0.989529,0.560976]
predictive_accuracy
0.8284999999999999
prior_entropy
3.321928094887362
recall
0.8285 [1,0.78,0.945,0.875,0.76,0.92,0.55,0.935,0.945,0.575]
relative_absolute_error
0.3356784450148514
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1576910640941451
root_relative_squared_error
0.525636880313809
total_cost
0
area_under_roc_curve
0.9814722222222223 [1,0.979722,0.994167,0.997778,0.970278,1,0.928056,0.993333,0.999167,0.952222]
area_under_roc_curve
0.9805277777777779 [0.999722,0.978056,0.995833,0.991111,0.965278,0.990556,0.948611,0.989167,0.997222,0.949722]
area_under_roc_curve
0.9777222222222223 [1,0.980833,1,0.975278,0.985,0.994722,0.906111,0.991111,1,0.944167]
area_under_roc_curve
0.988388888888889 [1,0.981667,0.995,0.995278,0.990556,0.996389,0.9775,0.995556,0.999722,0.952222]
area_under_roc_curve
0.9847777777777779 [1,0.970556,0.999167,0.9975,0.993611,0.995833,0.9575,0.991667,1,0.941944]
area_under_roc_curve
0.9861666666666666 [1,0.979722,1,0.992778,0.994167,0.994444,0.955,0.994722,0.999722,0.951111]
area_under_roc_curve
0.9844722222222222 [1,0.976389,0.994444,0.9975,0.986111,0.99,0.971389,0.988611,1,0.940278]
area_under_roc_curve
0.9835833333333333 [1,0.971111,0.998333,0.991389,0.959722,0.996944,0.960833,0.995556,0.995833,0.966111]
area_under_roc_curve
0.9825 [1,0.979167,0.999722,0.998056,0.976667,0.988333,0.945,0.995,1,0.943056]
area_under_roc_curve
0.9791944444444445 [1,0.981111,0.991944,0.989722,0.9675,0.998889,0.928333,0.993333,0.996667,0.944444]
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
0.8148153368179042 [0.97561,0.772727,0.926829,0.888889,0.780488,1,0.432432,0.9,0.947368,0.52381]
f_measure
0.8094689905554268 [0.97561,0.769231,0.871795,0.9,0.764706,0.818182,0.578947,0.837209,0.974359,0.604651]
f_measure
0.7954307887234715 [1,0.714286,0.947368,0.736842,0.75,0.878049,0.473684,0.842105,0.97561,0.636364]
f_measure
0.8604034254034254 [1,0.810811,0.974359,0.904762,0.8,0.923077,0.666667,0.85,0.974359,0.7]
f_measure
0.8165741621051754 [0.97561,0.722222,0.974359,0.904762,0.764706,0.930233,0.536585,0.844444,1,0.512821]
f_measure
0.8516643488963398 [1,0.878049,1,0.864865,0.85,0.878049,0.651163,0.930233,0.95,0.514286]
f_measure
0.8441518353177605 [1,0.85,0.947368,0.926829,0.857143,0.883721,0.6,0.863636,1,0.512821]
f_measure
0.8270755281203978 [1,0.714286,0.97561,0.871795,0.789474,0.864865,0.571429,0.930233,0.918919,0.634146]
f_measure
0.8589498295657311 [1,0.857143,0.952381,0.952381,0.842105,0.923077,0.514286,0.952381,1,0.595745]
f_measure
0.8024115484536888 [0.952381,0.842105,0.883721,0.918919,0.8,0.95,0.44898,0.909091,0.918919,0.4]
kappa
0.7944444444444444
kappa
0.788888888888889
kappa
0.7722222222222223
kappa
0.8444444444444444
kappa
0.7999999999999999
kappa
0.8388888888888889
kappa
0.8277777777777777
kappa
0.8055555555555555
kappa
0.8444444444444444
kappa
0.7777777777777778
kb_relative_information_score
157.2980988260277
kb_relative_information_score
156.06879997830984
kb_relative_information_score
154.49993936453922
kb_relative_information_score
161.20131235486113
kb_relative_information_score
157.88839696628028
kb_relative_information_score
161.1053296613947
kb_relative_information_score
159.1181059468868
kb_relative_information_score
158.93426458457122
kb_relative_information_score
161.5693503359739
kb_relative_information_score
155.04266604821257
mean_absolute_error
0.06189484851814853
mean_absolute_error
0.06210253548673552
mean_absolute_error
0.0636132039238539
mean_absolute_error
0.05790749085359087
mean_absolute_error
0.06182169664779665
mean_absolute_error
0.05767856333111337
mean_absolute_error
0.06022853262293263
mean_absolute_error
0.05960418342768345
mean_absolute_error
0.05696393766233768
mean_absolute_error
0.06240620855255858
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
0.819796918767507 [0.952381,0.708333,0.904762,1,0.761905,1,0.470588,0.9,1,0.5]
precision
0.8174100105335803 [0.952381,0.789474,0.894737,0.9,0.928571,0.75,0.611111,0.782609,1,0.565217]
precision
0.799134199134199 [1,0.681818,1,0.777778,0.75,0.857143,0.5,0.888889,0.952381,0.583333]
precision
0.8647568252181256 [1,0.882353,1,0.863636,0.72,0.947368,0.684211,0.85,1,0.7]
precision
0.8236779275263255 [0.952381,0.8125,1,0.863636,0.928571,0.869565,0.52381,0.76,1,0.526316]
precision
0.8533723054439167 [1,0.857143,1,0.941176,0.85,0.857143,0.608696,0.869565,0.95,0.6]
precision
0.8498831317423995 [1,0.85,1,0.904762,1,0.826087,0.6,0.791667,1,0.526316]
precision
0.8337513162119434 [1,0.681818,0.952381,0.894737,0.833333,0.941176,0.545455,0.869565,1,0.619048]
precision
0.8682048555732768 [1,1,0.909091,0.909091,0.888889,0.947368,0.6,0.909091,1,0.518519]
precision
0.8186710432662457 [0.909091,0.888889,0.826087,1,0.933333,0.95,0.37931,0.833333,1,0.466667]
predictive_accuracy
0.815
predictive_accuracy
0.81
predictive_accuracy
0.795
predictive_accuracy
0.86
predictive_accuracy
0.82
predictive_accuracy
0.855
predictive_accuracy
0.845
predictive_accuracy
0.825
predictive_accuracy
0.86
predictive_accuracy
0.8
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
0.815 [1,0.85,0.95,0.8,0.8,1,0.4,0.9,0.9,0.55]
recall
0.81 [1,0.75,0.85,0.9,0.65,0.9,0.55,0.9,0.95,0.65]
recall
0.795 [1,0.75,0.9,0.7,0.75,0.9,0.45,0.8,1,0.7]
recall
0.86 [1,0.75,0.95,0.95,0.9,0.9,0.65,0.85,0.95,0.7]
recall
0.82 [1,0.65,0.95,0.95,0.65,1,0.55,0.95,1,0.5]
recall
0.855 [1,0.9,1,0.8,0.85,0.9,0.7,1,0.95,0.45]
recall
0.845 [1,0.85,0.9,0.95,0.75,0.95,0.6,0.95,1,0.5]
recall
0.825 [1,0.75,1,0.85,0.75,0.8,0.6,1,0.85,0.65]
recall
0.86 [1,0.75,1,1,0.8,0.9,0.45,1,1,0.7]
recall
0.8 [1,0.8,0.95,0.85,0.7,0.95,0.55,1,0.85,0.35]
relative_absolute_error
0.34386026954527005
relative_absolute_error
0.34501408603741995
relative_absolute_error
0.3534066884658554
relative_absolute_error
0.3217082825199496
relative_absolute_error
0.3434538702655373
relative_absolute_error
0.3204364629506302
relative_absolute_error
0.3346029590162928
relative_absolute_error
0.33113435237601957
relative_absolute_error
0.3164663203463208
relative_absolute_error
0.34670115862532586
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
0.1605657916547761
root_mean_squared_error
0.1652165618161598
root_mean_squared_error
0.16779746036296117
root_mean_squared_error
0.1498013594326003
root_mean_squared_error
0.15837735169892875
root_mean_squared_error
0.15060495260022844
root_mean_squared_error
0.15527795894255486
root_mean_squared_error
0.15523333995725913
root_mean_squared_error
0.14963052610827723
root_mean_squared_error
0.16317852254898735
root_relative_squared_error
0.5352193055159207
root_relative_squared_error
0.550721872720533
root_relative_squared_error
0.5593248678765376
root_relative_squared_error
0.49933786477533465
root_relative_squared_error
0.5279245056630962
root_relative_squared_error
0.5020165086674284
root_relative_squared_error
0.5175931964751832
root_relative_squared_error
0.5174444665241974
root_relative_squared_error
0.4987684203609244
root_relative_squared_error
0.5439284084966248
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
28007.972691999385
usercpu_time_millis
31895.30318900006
usercpu_time_millis
32283.678457000406
usercpu_time_millis
32276.808434999566
usercpu_time_millis
32199.050428999726
usercpu_time_millis
32248.086499000237
usercpu_time_millis
32181.83186200031
usercpu_time_millis
32504.60425500023
usercpu_time_millis
32291.969247999987
usercpu_time_millis
32395.5419670001
usercpu_time_millis_testing
91.63654399981169
usercpu_time_millis_testing
90.82738699999027
usercpu_time_millis_testing
97.62253400003829
usercpu_time_millis_testing
127.6227669995933
usercpu_time_millis_testing
93.21727099995769
usercpu_time_millis_testing
90.37297400027455
usercpu_time_millis_testing
99.81512800004566
usercpu_time_millis_testing
100.04203400012557
usercpu_time_millis_testing
91.96939000003113
usercpu_time_millis_testing
92.5259340001503
usercpu_time_millis_training
27916.336147999573
usercpu_time_millis_training
31804.47580200007
usercpu_time_millis_training
32186.055923000367
usercpu_time_millis_training
32149.185667999973
usercpu_time_millis_training
32105.83315799977
usercpu_time_millis_training
32157.713524999963
usercpu_time_millis_training
32082.016734000263
usercpu_time_millis_training
32404.562221000106
usercpu_time_millis_training
32199.999857999956
usercpu_time_millis_training
32303.01603299995