8916293
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)
6853322
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
"entropy"
7684
max_depth
null
7684
max_features
0.37227527046521014
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
18
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
18748224
description
https://www.openml.org/data/download/18748224/description.xml
-1
18748225
predictions
https://www.openml.org/data/download/18748225/predictions.arff
area_under_roc_curve
0.980351388888889 [0.999983,0.970553,0.995817,0.989197,0.9739,0.991028,0.946517,0.991778,0.997825,0.946917]
average_cost
0
f_measure
0.8087910825035988 [0.99,0.762148,0.928395,0.873385,0.745308,0.888889,0.537313,0.87239,0.947368,0.542714]
kappa
0.788888888888889
kb_relative_information_score
1493.585859645215
mean_absolute_error
0.07414350584920043
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8097912058858735 [0.99,0.780105,0.917073,0.903743,0.803468,0.859813,0.534653,0.813853,0.949749,0.545455]
predictive_accuracy
0.81
prior_entropy
3.321928094887362
recall
0.81 [0.99,0.745,0.94,0.845,0.695,0.92,0.54,0.94,0.945,0.54]
relative_absolute_error
0.41190836582887863
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.16984584631732796
root_relative_squared_error
0.5661528210577512
total_cost
0
area_under_roc_curve
0.9777222222222222 [1,0.970833,0.991389,0.994722,0.956944,1,0.920556,0.992778,0.995833,0.954167]
area_under_roc_curve
0.9799722222222222 [1,0.975833,0.996111,0.986944,0.961389,0.988611,0.951111,0.989722,0.998333,0.951667]
area_under_roc_curve
0.9771666666666667 [1,0.969167,0.999444,0.971389,0.973889,0.991667,0.930278,0.990833,1,0.945]
area_under_roc_curve
0.9848611111111112 [0.999722,0.979167,0.995556,0.994167,0.989722,0.993333,0.969444,0.995833,0.998889,0.932778]
area_under_roc_curve
0.9811388888888888 [1,0.965,0.996389,0.993611,0.981944,0.991389,0.952778,0.991944,1,0.938333]
area_under_roc_curve
0.9824722222222222 [1,0.966944,0.999722,0.988333,0.992222,0.988333,0.948611,0.991111,0.997778,0.951667]
area_under_roc_curve
0.9821388888888889 [1,0.971667,0.995278,0.994444,0.982778,0.979167,0.975,0.986667,1,0.936389]
area_under_roc_curve
0.9829166666666665 [1,0.964722,0.998333,0.988333,0.975833,0.995278,0.954167,0.994722,0.992222,0.965556]
area_under_roc_curve
0.9820555555555557 [1,0.973611,0.999722,0.9975,0.981667,0.984167,0.940556,0.994444,1,0.948889]
area_under_roc_curve
0.9765555555555556 [1,0.974167,0.991389,0.986111,0.947778,0.998611,0.924722,0.993611,0.996944,0.952222]
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
0.7697593695668151 [0.97561,0.772727,0.926829,0.857143,0.714286,0.974359,0.27027,0.878049,0.947368,0.380952]
f_measure
0.7928775697196752 [1,0.842105,0.894737,0.820513,0.628571,0.857143,0.540541,0.818182,0.904762,0.622222]
f_measure
0.766483281374167 [1,0.666667,0.947368,0.789474,0.666667,0.809524,0.47619,0.820513,0.97561,0.512821]
f_measure
0.8294371638915926 [0.974359,0.777778,0.95,0.904762,0.711111,0.878049,0.684211,0.9,0.95,0.564103]
f_measure
0.7822334754561013 [1,0.685714,0.923077,0.878049,0.685714,0.888889,0.526316,0.808511,0.952381,0.473684]
f_measure
0.8580966484804141 [1,0.829268,0.952381,0.888889,0.842105,0.926829,0.666667,0.930233,0.95,0.594595]
f_measure
0.8441157787499252 [0.974359,0.769231,0.9,0.923077,0.888889,0.863636,0.682927,0.844444,1,0.594595]
f_measure
0.8143627197414104 [1,0.731707,0.952381,0.842105,0.722222,0.820513,0.622222,0.909091,0.894737,0.648649]
f_measure
0.8275946436330949 [1,0.8,0.97561,0.930233,0.787879,0.926829,0.421053,0.888889,1,0.545455]
f_measure
0.8031179275177771 [0.97561,0.75,0.863636,0.888889,0.823529,0.95,0.454545,0.930233,0.894737,0.5]
kappa
0.7444444444444445
kappa
0.7722222222222223
kappa
0.7388888888888889
kappa
0.8111111111111111
kappa
0.7666666666666667
kappa
0.8444444444444444
kappa
0.8277777777777777
kappa
0.7944444444444444
kappa
0.8111111111111111
kappa
0.7777777777777778
kb_relative_information_score
148.45019123034342
kb_relative_information_score
148.86276425637521
kb_relative_information_score
146.46094464967416
kb_relative_information_score
150.51731798268762
kb_relative_information_score
148.45128609033108
kb_relative_information_score
151.36754435341894
kb_relative_information_score
150.22223092636395
kb_relative_information_score
149.8251250850095
kb_relative_information_score
152.68690622886876
kb_relative_information_score
146.74154884214101
mean_absolute_error
0.07560914235053824
mean_absolute_error
0.07420331442796885
mean_absolute_error
0.07710045183126361
mean_absolute_error
0.07312920326776683
mean_absolute_error
0.07443690330838397
mean_absolute_error
0.07223271479178069
mean_absolute_error
0.07369096200060446
mean_absolute_error
0.07400957884183024
mean_absolute_error
0.07112103889267385
mean_absolute_error
0.075901748779192
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
0.7762191240132417 [0.952381,0.708333,0.904762,1,0.681818,1,0.294118,0.857143,1,0.363636]
precision
0.798882540576039 [1,0.888889,0.944444,0.842105,0.733333,0.818182,0.588235,0.75,0.863636,0.56]
precision
0.7701982228298018 [1,0.636364,1,0.833333,0.684211,0.772727,0.454545,0.842105,0.952381,0.526316]
precision
0.8336948811422495 [1,0.875,0.95,0.863636,0.64,0.857143,0.722222,0.9,0.95,0.578947]
precision
0.7872861446545657 [1,0.8,0.947368,0.857143,0.8,0.8,0.555556,0.703704,0.909091,0.5]
precision
0.8615253189549864 [1,0.809524,0.909091,1,0.888889,0.904762,0.636364,0.869565,0.95,0.647059]
precision
0.8502234262125902 [1,0.789474,0.9,0.947368,1,0.791667,0.666667,0.76,1,0.647059]
precision
0.8210530906142361 [1,0.714286,0.909091,0.888889,0.8125,0.842105,0.56,0.833333,0.944444,0.705882]
precision
0.840448585231194 [1,0.933333,0.952381,0.869565,1,0.904762,0.444444,0.8,1,0.5]
precision
0.8174723947550033 [0.952381,0.75,0.791667,1,1,0.95,0.416667,0.869565,0.944444,0.5]
predictive_accuracy
0.77
predictive_accuracy
0.795
predictive_accuracy
0.765
predictive_accuracy
0.83
predictive_accuracy
0.79
predictive_accuracy
0.86
predictive_accuracy
0.845
predictive_accuracy
0.815
predictive_accuracy
0.83
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
0.77 [1,0.85,0.95,0.75,0.75,0.95,0.25,0.9,0.9,0.4]
recall
0.795 [1,0.8,0.85,0.8,0.55,0.9,0.5,0.9,0.95,0.7]
recall
0.765 [1,0.7,0.9,0.75,0.65,0.85,0.5,0.8,1,0.5]
recall
0.83 [0.95,0.7,0.95,0.95,0.8,0.9,0.65,0.9,0.95,0.55]
recall
0.79 [1,0.6,0.9,0.9,0.6,1,0.5,0.95,1,0.45]
recall
0.86 [1,0.85,1,0.8,0.8,0.95,0.7,1,0.95,0.55]
recall
0.845 [0.95,0.75,0.9,0.9,0.8,0.95,0.7,0.95,1,0.55]
recall
0.815 [1,0.75,1,0.8,0.65,0.8,0.7,1,0.85,0.6]
recall
0.83 [1,0.7,1,1,0.65,0.95,0.4,1,1,0.6]
recall
0.8 [1,0.75,0.95,0.8,0.7,0.95,0.5,1,0.85,0.5]
relative_absolute_error
0.420050790836324
relative_absolute_error
0.4122406357109385
relative_absolute_error
0.42833584350702053
relative_absolute_error
0.4062733514875939
relative_absolute_error
0.4135383517132447
relative_absolute_error
0.40129285995433756
relative_absolute_error
0.4093942333366919
relative_absolute_error
0.41116432689905735
relative_absolute_error
0.39511688273707735
relative_absolute_error
0.42167638210662267
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
0.17271301822217716
root_mean_squared_error
0.17335920049372552
root_mean_squared_error
0.17453475256135695
root_mean_squared_error
0.16648714455090385
root_mean_squared_error
0.1716439927485185
root_mean_squared_error
0.16490464555291148
root_mean_squared_error
0.16830334410048092
root_mean_squared_error
0.16942314331624678
root_mean_squared_error
0.1625525497360614
root_mean_squared_error
0.1740799126178739
root_relative_squared_error
0.5757100607405908
root_relative_squared_error
0.5778640016457521
root_relative_squared_error
0.5817825085378567
root_relative_squared_error
0.5549571485030131
root_relative_squared_error
0.572146642495062
root_relative_squared_error
0.5496821518430386
root_relative_squared_error
0.5610111470016034
root_relative_squared_error
0.5647438110541563
root_relative_squared_error
0.5418418324535383
root_relative_squared_error
0.5802663753929134
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
64698.80236999961
usercpu_time_millis
64891.75054999578
usercpu_time_millis
64736.90485200132
usercpu_time_millis
64706.979878999846
usercpu_time_millis
64528.92555300059
usercpu_time_millis
64912.23446699951
usercpu_time_millis
65437.04787599927
usercpu_time_millis
65472.168606000196
usercpu_time_millis
65080.24434500112
usercpu_time_millis
64911.78866500195
usercpu_time_millis_testing
89.8017829968012
usercpu_time_millis_testing
87.3448219972488
usercpu_time_millis_testing
87.84075600124197
usercpu_time_millis_testing
95.93156700066174
usercpu_time_millis_testing
86.59798499866156
usercpu_time_millis_testing
85.81195199803915
usercpu_time_millis_testing
89.10121900044032
usercpu_time_millis_testing
88.26152300025569
usercpu_time_millis_testing
87.03472600245732
usercpu_time_millis_testing
88.26886800306966
usercpu_time_millis_training
64609.00058700281
usercpu_time_millis_training
64804.40572799853
usercpu_time_millis_training
64649.064096000075
usercpu_time_millis_training
64611.048311999184
usercpu_time_millis_training
64442.32756800193
usercpu_time_millis_training
64826.42251500147
usercpu_time_millis_training
65347.94665699883
usercpu_time_millis_training
65383.90708299994
usercpu_time_millis_training
64993.20961899866
usercpu_time_millis_training
64823.51979699888