4753934
1
Jan van Rijn
14
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
2789499
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
C
3.5043366040255077
6953
cache_size
200
6953
class_weight
null
6953
coef0
0.4818017231375846
6953
decision_function_shape
null
6953
degree
3
6953
gamma
0.011412894468400133
6953
kernel
"sigmoid"
6953
max_iter
-1
6953
probability
true
6953
random_state
13176
6953
shrinking
true
6953
tol
0.045246923591103834
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
10442081
description
https://api.openml.org/data/download/10442081/description.xml
-1
10442080
predictions
https://api.openml.org/data/download/10442080/predictions.arff
area_under_roc_curve
0.9688302777777777 [1,0.940553,0.988883,0.992986,0.936742,0.992086,0.940336,0.979108,0.991381,0.926228]
average_cost
0
f_measure
0.7595185412374221 [0.994975,0.723514,0.910448,0.857143,0.747312,0.882927,0.600362,0.779817,0.946078,0.15261]
kappa
0.7522222222222222
kb_relative_information_score
1477.517823333401
mean_absolute_error
0.07411658668917158
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.772277354232742 [1,0.748663,0.905941,0.891892,0.80814,0.861905,0.470255,0.720339,0.927885,0.387755]
predictive_accuracy
0.777
prior_entropy
3.321928094887362
recall
0.777 [0.99,0.7,0.915,0.825,0.695,0.905,0.83,0.85,0.965,0.095]
relative_absolute_error
0.4117588149398294
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17723171480848562
root_relative_squared_error
0.5907723826949431
total_cost
0
area_under_roc_curve
0.9709722222222222 [1,0.943056,0.992222,0.995833,0.934722,0.999722,0.924444,0.972222,0.999722,0.947778]
area_under_roc_curve
0.9661666666666667 [1,0.944444,0.983889,0.995,0.897778,0.991944,0.95,0.975278,0.987778,0.935556]
area_under_roc_curve
0.96825 [1,0.949167,0.991389,0.979444,0.958611,0.991944,0.915278,0.973611,1,0.923056]
area_under_roc_curve
0.9695555555555555 [1,0.916944,0.996944,0.998889,0.974444,0.993889,0.946389,0.968611,0.974444,0.925]
area_under_roc_curve
0.9656388888888889 [1,0.895556,0.983056,0.989722,0.938611,0.9925,0.938889,0.978889,1,0.939167]
area_under_roc_curve
0.9746944444444443 [1,0.943056,0.998056,0.991944,0.949722,0.992222,0.9575,0.985556,0.999444,0.929444]
area_under_roc_curve
0.9725833333333334 [1,0.950556,0.993889,0.994444,0.938611,0.983333,0.969722,0.986389,1,0.908889]
area_under_roc_curve
0.9709444444444446 [1,0.956389,0.991111,0.996389,0.908611,0.994722,0.926667,0.988333,0.998889,0.948333]
area_under_roc_curve
0.9682222222222223 [1,0.920556,1,0.998333,0.951111,0.983056,0.940833,0.986111,1,0.902222]
area_under_roc_curve
0.9625000000000001 [1,0.985556,0.96,0.992778,0.910556,0.999444,0.934167,0.981111,0.961389,0.9]
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
0.751224048760634 [0.974359,0.761905,0.809524,0.833333,0.820513,0.95,0.518519,0.731707,0.952381,0.16]
f_measure
0.7487050404576369 [1,0.769231,0.926829,0.864865,0.648649,0.837209,0.655172,0.744186,0.95,0.090909]
f_measure
0.7561218073107198 [1,0.682927,0.894737,0.75,0.829268,0.878049,0.615385,0.744186,1,0.166667]
f_measure
0.7456870398847292 [0.974359,0.648649,0.947368,0.926829,0.731707,0.820513,0.618182,0.714286,0.926829,0.148148]
f_measure
0.7668586607240218 [1,0.648649,0.95,0.85,0.736842,0.883721,0.56,0.790698,0.952381,0.296296]
f_measure
0.7736005687602594 [1,0.756757,0.926829,0.823529,0.75,0.904762,0.654545,0.826087,0.926829,0.166667]
f_measure
0.7787455840487877 [1,0.702703,0.947368,0.857143,0.727273,0.857143,0.690909,0.791667,0.952381,0.26087]
f_measure
0.7645108230435546 [1,0.756757,0.97561,0.923077,0.6875,0.904762,0.491228,0.837209,1,0.068966]
f_measure
0.7496669996669998 [1,0.75,0.809524,0.888889,0.777778,0.923077,0.581818,0.772727,0.85,0.142857]
kappa
0.7388888888888889
kappa
0.75
kappa
0.75
kappa
0.7333333333333334
kappa
0.7555555555555555
kappa
0.7722222222222223
kappa
0.7777777777777778
kappa
0.7611111111111112
kappa
0.75
kappa
0.7333333333333334
kb_relative_information_score
147.60173810829286
kb_relative_information_score
146.91675324630347
kb_relative_information_score
145.53684115977524
kb_relative_information_score
145.45659174649953
kb_relative_information_score
147.27574433272542
kb_relative_information_score
150.66071582632196
kb_relative_information_score
150.43068962155246
kb_relative_information_score
149.06123385917752
kb_relative_information_score
150.84300356287778
kb_relative_information_score
143.73451186987438
mean_absolute_error
0.07596150477466403
mean_absolute_error
0.07446750123566137
mean_absolute_error
0.0755351295877114
mean_absolute_error
0.07599882836641264
mean_absolute_error
0.07324499384159162
mean_absolute_error
0.07119339409125457
mean_absolute_error
0.07174297441759053
mean_absolute_error
0.07436018135830386
mean_absolute_error
0.07145468292235232
mean_absolute_error
0.07720667629617277
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
0.7664746592416871 [1,0.727273,0.772727,0.9375,0.842105,0.95,0.411765,0.714286,0.909091,0.4]
precision
0.7769555282067061 [1,0.789474,0.904762,0.941176,0.705882,0.782609,0.5,0.695652,0.95,0.5]
precision
0.7723429951690821 [1,0.666667,0.944444,0.75,0.809524,0.857143,0.5,0.695652,1,0.5]
precision
0.7525043893155349 [1,0.705882,1,0.904762,0.714286,0.842105,0.485714,0.681818,0.904762,0.285714]
precision
0.7796063669209449 [1,0.705882,0.95,0.85,0.777778,0.826087,0.466667,0.73913,0.909091,0.571429]
precision
0.7991744529979825 [1,0.823529,0.904762,1,0.75,0.863636,0.514286,0.730769,0.904762,0.5]
precision
0.8454665922312983 [1,0.764706,1,0.818182,0.923077,0.818182,0.542857,0.678571,0.909091,1]
precision
0.7775680000642984 [1,0.823529,0.952381,0.947368,0.916667,0.863636,0.378378,0.782609,1,0.111111]
precision
0.7610571884256094 [1,0.75,0.772727,1,0.875,0.947368,0.457143,0.708333,0.85,0.25]
predictive_accuracy
0.765
predictive_accuracy
0.775
predictive_accuracy
0.775
predictive_accuracy
0.76
predictive_accuracy
0.78
predictive_accuracy
0.795
predictive_accuracy
0.8
predictive_accuracy
0.785
predictive_accuracy
0.775
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 [0.95,0.8,0.85,0.75,0.8,0.95,0.7,0.75,1,0.1]
recall
0.775 [1,0.75,0.95,0.8,0.6,0.9,0.95,0.8,0.95,0.05]
recall
0.775 [1,0.7,0.85,0.75,0.85,0.9,0.8,0.8,1,0.1]
recall
0.76 [0.95,0.6,0.9,0.95,0.75,0.8,0.85,0.75,0.95,0.1]
recall
0.78 [1,0.6,0.95,0.85,0.7,0.95,0.7,0.85,1,0.2]
recall
0.795 [1,0.7,0.95,0.7,0.75,0.95,0.9,0.95,0.95,0.1]
recall
0.8 [1,0.65,0.9,0.9,0.6,0.9,0.95,0.95,1,0.15]
recall
0.785 [1,0.75,0.95,0.85,0.65,0.85,0.95,0.9,0.95,0]
recall
0.775 [1,0.7,1,0.9,0.55,0.95,0.7,0.9,1,0.05]
recall
0.76 [1,0.75,0.85,0.8,0.7,0.9,0.8,0.85,0.85,0.1]
relative_absolute_error
0.42200835985924506
relative_absolute_error
0.41370834019811914
relative_absolute_error
0.4196396088206194
relative_absolute_error
0.4222157131467374
relative_absolute_error
0.40691663245328724
relative_absolute_error
0.39551885606252574
relative_absolute_error
0.39857208009772566
relative_absolute_error
0.4131121186572441
relative_absolute_error
0.39697046067973557
relative_absolute_error
0.42892597942318256
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
0.17657007091645632
root_mean_squared_error
0.18129753824323092
root_mean_squared_error
0.17910609830657973
root_mean_squared_error
0.17968503676270828
root_mean_squared_error
0.18005379232653057
root_mean_squared_error
0.17218642725234562
root_mean_squared_error
0.17191232966274023
root_mean_squared_error
0.1753183890666064
root_mean_squared_error
0.17195433877155983
root_mean_squared_error
0.18377458479780495
root_relative_squared_error
0.5885669030548547
root_relative_squared_error
0.6043251274774368
root_relative_squared_error
0.5970203276885995
root_relative_squared_error
0.5989501225423612
root_relative_squared_error
0.6001793077551022
root_relative_squared_error
0.5739547575078191
root_relative_squared_error
0.573041098875801
root_relative_squared_error
0.5843946302220218
root_relative_squared_error
0.573181129238533
root_relative_squared_error
0.6125819493260168
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
15190.91077300004
usercpu_time_millis
15316.219003000015
usercpu_time_millis
15397.08430199994
usercpu_time_millis
15285.803334999855
usercpu_time_millis
15355.351104999954
usercpu_time_millis
14187.77666699998
usercpu_time_millis
11988.22300400002
usercpu_time_millis
12253.248497000186
usercpu_time_millis
15484.165364999853
usercpu_time_millis
15627.660805000232
usercpu_time_millis_testing
179.84776900004817
usercpu_time_millis_testing
189.18989600001623
usercpu_time_millis_testing
191.55689300009726
usercpu_time_millis_testing
188.85606599997118
usercpu_time_millis_testing
191.59840299994357
usercpu_time_millis_testing
149.5761589999347
usercpu_time_millis_testing
158.4459059999972
usercpu_time_millis_testing
184.91928700018434
usercpu_time_millis_testing
182.863019000024
usercpu_time_millis_testing
188.87598400010575
usercpu_time_millis_training
15011.063003999992
usercpu_time_millis_training
15127.029106999998
usercpu_time_millis_training
15205.527408999842
usercpu_time_millis_training
15096.947268999884
usercpu_time_millis_training
15163.75270200001
usercpu_time_millis_training
14038.200508000045
usercpu_time_millis_training
11829.777098000022
usercpu_time_millis_training
12068.329210000002
usercpu_time_millis_training
15301.30234599983
usercpu_time_millis_training
15438.784821000127