8911396
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)
6848633
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
0.43421796147948344
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
5
7684
min_samples_split
19
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
18738474
description
https://api.openml.org/data/download/18738474/description.xml
-1
18738475
predictions
https://api.openml.org/data/download/18738475/predictions.arff
area_under_roc_curve
0.9825166666666667 [0.999986,0.976169,0.996181,0.991803,0.978689,0.994392,0.948117,0.992256,0.998778,0.948797]
average_cost
0
f_measure
0.8246538517417933 [0.985222,0.783042,0.947368,0.887755,0.796834,0.902439,0.550369,0.88361,0.966752,0.543147]
kappa
0.8055555555555555
kb_relative_information_score
1580.935538934017
mean_absolute_error
0.060343251908548945
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8256261806208819 [0.970874,0.781095,0.949749,0.90625,0.843575,0.880952,0.541063,0.841629,0.989529,0.551546]
predictive_accuracy
0.825
prior_entropy
3.321928094887362
recall
0.825 [1,0.785,0.945,0.87,0.755,0.925,0.56,0.93,0.945,0.535]
relative_absolute_error
0.3352402883808171
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.15845874909934776
root_relative_squared_error
0.5281958303311511
total_cost
0
area_under_roc_curve
0.9819722222222222 [1,0.979444,0.994167,0.997778,0.972778,1,0.928889,0.993056,0.999444,0.954167]
area_under_roc_curve
0.9809444444444444 [0.999722,0.9775,0.995278,0.990278,0.970556,0.989722,0.951389,0.988889,0.996667,0.949444]
area_under_roc_curve
0.9766111111111111 [1,0.979722,1,0.974722,0.983611,0.993333,0.906944,0.990833,1,0.936944]
area_under_roc_curve
0.9875833333333334 [1,0.974444,0.993889,0.995278,0.987778,0.996389,0.98,0.994444,0.999722,0.953889]
area_under_roc_curve
0.9855555555555555 [1,0.9725,0.999722,0.9975,0.993056,0.995833,0.959444,0.991389,1,0.946111]
area_under_roc_curve
0.9859722222222222 [1,0.978889,1,0.990556,0.993611,0.994167,0.956111,0.994444,0.999444,0.9525]
area_under_roc_curve
0.9825833333333334 [1,0.9725,0.991667,0.996944,0.981389,0.989444,0.967222,0.988611,1,0.938056]
area_under_roc_curve
0.9838333333333334 [1,0.973333,0.998333,0.988889,0.959167,0.997222,0.961944,0.995833,0.995556,0.968056]
area_under_roc_curve
0.9825833333333334 [1,0.974722,0.999722,0.997778,0.9775,0.988889,0.942222,0.995,1,0.95]
area_under_roc_curve
0.9781111111111112 [1,0.980833,0.991389,0.987778,0.969722,0.998611,0.926111,0.993333,0.995556,0.937778]
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
0.824833259598164 [0.97561,0.772727,0.926829,0.888889,0.790698,0.974359,0.486486,0.9,0.947368,0.585366]
f_measure
0.8091860605111748 [0.97561,0.75,0.871795,0.9,0.764706,0.818182,0.6,0.837209,0.974359,0.6]
f_measure
0.7809939482853474 [1,0.714286,0.947368,0.736842,0.75,0.857143,0.45,0.842105,0.97561,0.536585]
f_measure
0.8401073195810038 [1,0.789474,0.974359,0.904762,0.755556,0.9,0.666667,0.820513,0.974359,0.615385]
f_measure
0.8158014606149468 [0.97561,0.722222,0.974359,0.904762,0.764706,0.909091,0.55,0.844444,1,0.512821]
f_measure
0.8515951813660564 [1,0.837209,1,0.864865,0.894737,0.904762,0.634146,0.930233,0.95,0.5]
f_measure
0.8309484108352663 [1,0.790698,0.947368,0.926829,0.8,0.904762,0.619048,0.863636,1,0.457143]
f_measure
0.8479369453232783 [1,0.780488,0.97561,0.894737,0.810811,0.894737,0.590909,0.930233,0.918919,0.682927]
f_measure
0.8544685291824881 [1,0.857143,0.952381,0.952381,0.842105,0.923077,0.5,0.952381,1,0.565217]
f_measure
0.7872406000312977 [0.930233,0.820513,0.904762,0.888889,0.8,0.95,0.416667,0.909091,0.918919,0.333333]
kappa
0.8055555555555555
kappa
0.788888888888889
kappa
0.7555555555555555
kappa
0.8222222222222222
kappa
0.7999999999999999
kappa
0.8388888888888889
kappa
0.8166666666666667
kappa
0.8277777777777777
kappa
0.8388888888888889
kappa
0.7611111111111112
kb_relative_information_score
157.41414051838302
kb_relative_information_score
155.7305432525339
kb_relative_information_score
153.55099260000378
kb_relative_information_score
161.0216582836316
kb_relative_information_score
158.35364933393802
kb_relative_information_score
161.2183995533177
kb_relative_information_score
158.6979836222823
kb_relative_information_score
159.15278690019852
kb_relative_information_score
161.40175094454762
kb_relative_information_score
154.39363392518484
mean_absolute_error
0.06160396152719831
mean_absolute_error
0.06226085942276677
mean_absolute_error
0.06398403090945
mean_absolute_error
0.05775665715069245
mean_absolute_error
0.06122555016062367
mean_absolute_error
0.05744491525174174
mean_absolute_error
0.06018012595443771
mean_absolute_error
0.059196418326118314
mean_absolute_error
0.05685086587823942
mean_absolute_error
0.06292913450422123
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
0.8305446961393252 [0.952381,0.708333,0.904762,1,0.73913,1,0.529412,0.9,1,0.571429]
precision
0.8158297918709817 [0.952381,0.75,0.894737,0.9,0.928571,0.75,0.6,0.782609,1,0.6]
precision
0.7842857142857141 [1,0.681818,1,0.777778,0.75,0.818182,0.45,0.888889,0.952381,0.52381]
precision
0.8434864433811802 [1,0.833333,1,0.863636,0.68,0.9,0.684211,0.842105,1,0.631579]
precision
0.8226737867395761 [0.952381,0.8125,1,0.863636,0.928571,0.833333,0.55,0.76,1,0.526316]
precision
0.853297881076014 [1,0.782609,1,0.941176,0.944444,0.863636,0.619048,0.869565,0.95,0.5625]
precision
0.83567711274233 [1,0.73913,1,0.904762,0.933333,0.863636,0.590909,0.791667,1,0.533333]
precision
0.8563426095075711 [1,0.761905,0.952381,0.944444,0.882353,0.944444,0.541667,0.869565,1,0.666667]
precision
0.8626030037214248 [1,1,0.909091,0.909091,0.888889,0.947368,0.5625,0.909091,1,0.5]
precision
0.8024116367995088 [0.869565,0.842105,0.863636,1,0.933333,0.95,0.357143,0.833333,1,0.375]
predictive_accuracy
0.825
predictive_accuracy
0.81
predictive_accuracy
0.78
predictive_accuracy
0.84
predictive_accuracy
0.82
predictive_accuracy
0.855
predictive_accuracy
0.835
predictive_accuracy
0.845
predictive_accuracy
0.855
predictive_accuracy
0.785
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
0.825 [1,0.85,0.95,0.8,0.85,0.95,0.45,0.9,0.9,0.6]
recall
0.81 [1,0.75,0.85,0.9,0.65,0.9,0.6,0.9,0.95,0.6]
recall
0.78 [1,0.75,0.9,0.7,0.75,0.9,0.45,0.8,1,0.55]
recall
0.84 [1,0.75,0.95,0.95,0.85,0.9,0.65,0.8,0.95,0.6]
recall
0.82 [1,0.65,0.95,0.95,0.65,1,0.55,0.95,1,0.5]
recall
0.855 [1,0.9,1,0.8,0.85,0.95,0.65,1,0.95,0.45]
recall
0.835 [1,0.85,0.9,0.95,0.7,0.95,0.65,0.95,1,0.4]
recall
0.845 [1,0.8,1,0.85,0.75,0.85,0.65,1,0.85,0.7]
recall
0.855 [1,0.75,1,1,0.8,0.9,0.45,1,1,0.65]
recall
0.785 [1,0.8,0.95,0.8,0.7,0.95,0.5,1,0.85,0.3]
relative_absolute_error
0.34224423070665766
relative_absolute_error
0.34589366345981576
relative_absolute_error
0.35546683838583376
relative_absolute_error
0.3208703175038473
relative_absolute_error
0.34014194533679853
relative_absolute_error
0.31913841806523224
relative_absolute_error
0.3343340330802099
relative_absolute_error
0.32886899070065767
relative_absolute_error
0.3158381437679971
relative_absolute_error
0.3496063028012294
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
0.16045965868330112
root_mean_squared_error
0.1660204616897276
root_mean_squared_error
0.17041877600402894
root_mean_squared_error
0.15046954190493414
root_mean_squared_error
0.15793393818715867
root_mean_squared_error
0.1505280815772388
root_mean_squared_error
0.1569676983152866
root_mean_squared_error
0.15509582219472143
root_mean_squared_error
0.15015710553928863
root_mean_squared_error
0.165092255257037
root_relative_squared_error
0.5348655289443374
root_relative_squared_error
0.5534015389657589
root_relative_squared_error
0.5680625866800968
root_relative_squared_error
0.5015651396831141
root_relative_squared_error
0.5264464606238625
root_relative_squared_error
0.5017602719241296
root_relative_squared_error
0.5232256610509556
root_relative_squared_error
0.5169860739824051
root_relative_squared_error
0.5005236851309625
root_relative_squared_error
0.550307517523457
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
34992.27267700007
usercpu_time_millis
34938.99391099967
usercpu_time_millis
34950.32834899985
usercpu_time_millis
34862.183114999876
usercpu_time_millis
34816.854528000025
usercpu_time_millis
34981.61267299975
usercpu_time_millis
35167.805216999564
usercpu_time_millis
34888.82024999976
usercpu_time_millis
35116.8893920003
usercpu_time_millis
35155.29452900046
usercpu_time_millis_testing
92.4624929998572
usercpu_time_millis_testing
93.96554399972956
usercpu_time_millis_testing
90.91420599997946
usercpu_time_millis_testing
90.41361299978234
usercpu_time_millis_testing
95.92180800018468
usercpu_time_millis_testing
91.12071699973967
usercpu_time_millis_testing
92.64387299981536
usercpu_time_millis_testing
90.72956499994689
usercpu_time_millis_testing
91.97135800013712
usercpu_time_millis_testing
95.3211480000391
usercpu_time_millis_training
34899.81018400022
usercpu_time_millis_training
34845.02836699994
usercpu_time_millis_training
34859.41414299987
usercpu_time_millis_training
34771.7695020001
usercpu_time_millis_training
34720.93271999984
usercpu_time_millis_training
34890.491956000005
usercpu_time_millis_training
35075.16134399975
usercpu_time_millis_training
34798.09068499981
usercpu_time_millis_training
35024.91803400016
usercpu_time_millis_training
35059.97338100042