8911258
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)
6848501
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
0.7344902289458818
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
2
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
18738198
description
https://api.openml.org/data/download/18738198/description.xml
-1
18738199
predictions
https://api.openml.org/data/download/18738199/predictions.arff
area_under_roc_curve
0.9811 [0.999967,0.972861,0.995314,0.989353,0.978228,0.993267,0.94385,0.992403,0.998256,0.947503]
average_cost
0
f_measure
0.8137370752765192 [0.977887,0.782178,0.939394,0.879795,0.749326,0.901961,0.528117,0.884161,0.953608,0.540943]
kappa
0.7927777777777778
kb_relative_information_score
1572.794996531616
mean_absolute_error
0.06120795127158768
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8159146294568116 [0.961353,0.77451,0.94898,0.900524,0.812865,0.884615,0.516746,0.838565,0.984043,0.536946]
predictive_accuracy
0.8134999999999999
prior_entropy
3.321928094887362
recall
0.8135 [0.995,0.79,0.93,0.86,0.695,0.92,0.54,0.935,0.925,0.545]
relative_absolute_error
0.34004417373103224
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.16039074776887888
root_relative_squared_error
0.5346358258962547
total_cost
0
area_under_roc_curve
0.98175 [1,0.9775,0.993611,0.997778,0.980278,1,0.9275,0.993889,0.998056,0.948889]
area_under_roc_curve
0.9814166666666665 [0.999722,0.975556,0.9925,0.985556,0.976944,0.989444,0.952778,0.991111,0.995833,0.954722]
area_under_roc_curve
0.9774999999999998 [1,0.979722,0.999722,0.975556,0.974167,0.994167,0.9175,0.990278,1,0.943889]
area_under_roc_curve
0.9860000000000001 [1,0.973333,0.994167,0.994167,0.986944,0.996111,0.973611,0.994722,0.998889,0.948056]
area_under_roc_curve
0.9831111111111112 [1,0.968056,0.999444,0.995278,0.988889,0.993611,0.953333,0.993056,0.999722,0.939722]
area_under_roc_curve
0.9832777777777777 [1,0.977222,1,0.992778,0.989444,0.991944,0.941667,0.992778,0.999444,0.9475]
area_under_roc_curve
0.9816944444444445 [1,0.968889,0.993056,0.995833,0.987222,0.99,0.965556,0.988611,1,0.927778]
area_under_roc_curve
0.9817500000000001 [1,0.97,0.9975,0.981389,0.956667,0.9975,0.953056,0.997778,0.993889,0.969722]
area_under_roc_curve
0.9810555555555556 [1,0.964444,1,0.996667,0.98,0.982778,0.936944,0.995,1,0.954722]
area_under_roc_curve
0.9742500000000001 [1,0.977778,0.985278,0.977778,0.963056,0.996944,0.918611,0.993056,0.994722,0.935278]
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
0.7967944835082191 [0.97561,0.772727,0.878049,0.888889,0.714286,0.974359,0.421053,0.871795,0.947368,0.52381]
f_measure
0.8100584987459931 [0.95,0.780488,0.894737,0.871795,0.742857,0.837209,0.594595,0.863636,0.974359,0.590909]
f_measure
0.7966178266178267 [1,0.761905,0.974359,0.769231,0.666667,0.85,0.45,0.871795,1,0.622222]
f_measure
0.8281744029283153 [0.97561,0.789474,0.95,0.926829,0.765957,0.923077,0.615385,0.820513,0.974359,0.540541]
f_measure
0.7921050933246057 [0.97561,0.717949,0.918919,0.878049,0.666667,0.863636,0.536585,0.863636,0.95,0.55]
f_measure
0.817478008638411 [0.97561,0.829268,1,0.820513,0.756757,0.904762,0.536585,0.930233,0.947368,0.473684]
f_measure
0.8194852675085234 [1,0.790698,0.918919,0.9,0.787879,0.883721,0.6,0.863636,1,0.45]
f_measure
0.8472039647211257 [1,0.731707,0.97561,0.894737,0.810811,0.923077,0.638298,0.930233,0.918919,0.648649]
f_measure
0.8499540780028585 [1,0.857143,0.97561,0.952381,0.810811,0.923077,0.5,0.909091,1,0.571429]
f_measure
0.7770847933450026 [0.930233,0.8,0.904762,0.888889,0.764706,0.95,0.391304,0.909091,0.810811,0.421053]
kappa
0.7722222222222223
kappa
0.788888888888889
kappa
0.7722222222222223
kappa
0.8111111111111111
kappa
0.7722222222222223
kappa
0.7999999999999999
kappa
0.7999999999999999
kappa
0.8277777777777777
kappa
0.8333333333333333
kappa
0.75
kb_relative_information_score
157.14222626775475
kb_relative_information_score
155.0846688313535
kb_relative_information_score
155.12900125709209
kb_relative_information_score
158.97448354913976
kb_relative_information_score
156.9181163229997
kb_relative_information_score
159.39990027217175
kb_relative_information_score
158.75421722160246
kb_relative_information_score
157.32346380383495
kb_relative_information_score
160.46187040409757
kb_relative_information_score
153.60704860156878
mean_absolute_error
0.061625893913581066
mean_absolute_error
0.0630385543398436
mean_absolute_error
0.06293245825557217
mean_absolute_error
0.05945984871045304
mean_absolute_error
0.062094435823260054
mean_absolute_error
0.05901251431169063
mean_absolute_error
0.06047314080962668
mean_absolute_error
0.06135145697193316
mean_absolute_error
0.057738616834660875
mean_absolute_error
0.06435259274525534
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
0.8038856611225033 [0.952381,0.708333,0.857143,1,0.681818,1,0.444444,0.894737,1,0.5]
precision
0.8180753567636055 [0.95,0.761905,0.944444,0.894737,0.866667,0.782609,0.647059,0.791667,1,0.541667]
precision
0.8021483253588516 [1,0.727273,1,0.789474,0.75,0.85,0.45,0.894737,1,0.56]
precision
0.8316430782839452 [0.952381,0.833333,0.95,0.904762,0.666667,0.947368,0.631579,0.842105,1,0.588235]
precision
0.7999662618083669 [0.952381,0.736842,1,0.857143,0.846154,0.791667,0.52381,0.791667,0.95,0.55]
precision
0.8184550541664555 [0.952381,0.809524,1,0.842105,0.823529,0.863636,0.52381,0.869565,1,0.5]
precision
0.8306884057971015 [1,0.73913,1,0.9,1,0.826087,0.6,0.791667,1,0.45]
precision
0.857183559922825 [1,0.714286,0.952381,0.944444,0.882353,0.947368,0.555556,0.869565,1,0.705882]
precision
0.8569981102488842 [1,1,0.952381,0.909091,0.882353,0.947368,0.5,0.833333,1,0.545455]
precision
0.7918057574707191 [0.869565,0.8,0.863636,1,0.928571,0.95,0.346154,0.833333,0.882353,0.444444]
predictive_accuracy
0.795
predictive_accuracy
0.81
predictive_accuracy
0.795
predictive_accuracy
0.83
predictive_accuracy
0.795
predictive_accuracy
0.82
predictive_accuracy
0.82
predictive_accuracy
0.845
predictive_accuracy
0.85
predictive_accuracy
0.775
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
0.795 [1,0.85,0.9,0.8,0.75,0.95,0.4,0.85,0.9,0.55]
recall
0.81 [0.95,0.8,0.85,0.85,0.65,0.9,0.55,0.95,0.95,0.65]
recall
0.795 [1,0.8,0.95,0.75,0.6,0.85,0.45,0.85,1,0.7]
recall
0.83 [1,0.75,0.95,0.95,0.9,0.9,0.6,0.8,0.95,0.5]
recall
0.795 [1,0.7,0.85,0.9,0.55,0.95,0.55,0.95,0.95,0.55]
recall
0.82 [1,0.85,1,0.8,0.7,0.95,0.55,1,0.9,0.45]
recall
0.82 [1,0.85,0.85,0.9,0.65,0.95,0.6,0.95,1,0.45]
recall
0.845 [1,0.75,1,0.85,0.75,0.9,0.75,1,0.85,0.6]
recall
0.85 [1,0.75,1,1,0.75,0.9,0.5,1,1,0.6]
recall
0.775 [1,0.8,0.95,0.8,0.65,0.95,0.45,1,0.75,0.4]
relative_absolute_error
0.34236607729767293
relative_absolute_error
0.35021419077690924
relative_absolute_error
0.34962476808651244
relative_absolute_error
0.3303324928358506
relative_absolute_error
0.3449690879070007
relative_absolute_error
0.3278473017316149
relative_absolute_error
0.33596189338681526
relative_absolute_error
0.3408414276218512
relative_absolute_error
0.3207700935258941
relative_absolute_error
0.35751440414030783
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
0.1613937570942334
root_mean_squared_error
0.16666754625351832
root_mean_squared_error
0.16661176918652423
root_mean_squared_error
0.1549753575755538
root_mean_squared_error
0.16242884570862307
root_mean_squared_error
0.15547660763872811
root_mean_squared_error
0.15724499300238812
root_mean_squared_error
0.1583509006449915
root_mean_squared_error
0.15280449420409795
root_mean_squared_error
0.1671608397886651
root_relative_squared_error
0.5379791903141117
root_relative_squared_error
0.555558487511728
root_relative_squared_error
0.5553725639550811
root_relative_squared_error
0.5165845252518464
root_relative_squared_error
0.5414294856954105
root_relative_squared_error
0.5182553587957607
root_relative_squared_error
0.5241499766746274
root_relative_squared_error
0.5278363354833053
root_relative_squared_error
0.5093483140136601
root_relative_squared_error
0.5572027992955507
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
35792.072463000295
usercpu_time_millis
35804.628414000035
usercpu_time_millis
35690.62773499991
usercpu_time_millis
35796.12737700018
usercpu_time_millis
36058.69661700035
usercpu_time_millis
35821.23968200039
usercpu_time_millis
36170.66722000027
usercpu_time_millis
36133.322547000265
usercpu_time_millis
35998.18617099982
usercpu_time_millis
35799.17942599968
usercpu_time_millis_testing
97.31686900022396
usercpu_time_millis_testing
92.75228700016669
usercpu_time_millis_testing
90.92717800012906
usercpu_time_millis_testing
90.29885200015997
usercpu_time_millis_testing
89.45508800024982
usercpu_time_millis_testing
90.29016100021181
usercpu_time_millis_testing
92.36598799998319
usercpu_time_millis_testing
90.77263300014238
usercpu_time_millis_testing
90.43787099972178
usercpu_time_millis_testing
88.89418799981286
usercpu_time_millis_training
35694.755594000075
usercpu_time_millis_training
35711.876126999865
usercpu_time_millis_training
35599.70055699978
usercpu_time_millis_training
35705.82852500002
usercpu_time_millis_training
35969.2415290001
usercpu_time_millis_training
35730.949521000184
usercpu_time_millis_training
36078.30123200029
usercpu_time_millis_training
36042.54991400012
usercpu_time_millis_training
35907.748300000094
usercpu_time_millis_training
35710.285237999866