1815598
232
Michel Lang
14969
Supervised Classification
4686
mlr.classif.svm.preproc.preproc.tuned(80)
9363
openml.seed
1
4686
openml.kind
Mersenne-Twister
4686
openml.normal.kind
Inversion
4686
preliminary
study_14
4538
GesturePhaseSegmentationProcessed
https://www.openml.org/data/download/1798765/phpYLeydd
-1
4554733
description
https://api.openml.org/data/download/4554733/description383e5282fcd4.xml
-1
4554734
predictions
https://api.openml.org/data/download/4554734/predictions383e3d9898e6.arff
-1
4554735
Trace
https://api.openml.org/data/download/4554735/optimization_trace383e32c0c090.arff
area_under_roc_curve
0.719188 [0.811947,0.608478,0.665478,0.645756,0.735693]
average_cost
0
f_measure
0.563236 [0.704256,0.333567,0.480573,0.407621,0.626005]
kappa
0.440633
kb_relative_information_score
4672.730223
mean_absolute_error
0.166312
mean_prior_absolute_error
0.306484
number_of_instances
9873 [2741,998,2097,1087,2950]
precision
0.578186 [0.618312,0.554779,0.569191,0.547287,0.566603]
predictive_accuracy
0.58422
prior_entropy
2.19356
recall
0.58422 [0.81795,0.238477,0.415832,0.324747,0.699322]
relative_absolute_error
0.542645
root_mean_prior_squared_error
0.391457
root_mean_squared_error
0.407814
root_relative_squared_error
1.041784
total_cost
0
area_under_roc_curve
0.723 [0.805414,0.594302,0.666275,0.654935,0.755609]
area_under_roc_curve
0.716699 [0.818147,0.618739,0.666465,0.611871,0.730173]
area_under_roc_curve
0.722793 [0.823897,0.614865,0.666991,0.645797,0.733644]
area_under_roc_curve
0.722538 [0.815786,0.589766,0.670978,0.68706,0.730298]
area_under_roc_curve
0.705704 [0.806938,0.595925,0.650129,0.655938,0.705954]
area_under_roc_curve
0.724252 [0.817587,0.637599,0.647297,0.632221,0.755411]
area_under_roc_curve
0.717753 [0.811698,0.609927,0.660039,0.632711,0.739265]
area_under_roc_curve
0.711909 [0.795713,0.572525,0.671609,0.65264,0.73177]
area_under_roc_curve
0.718578 [0.802973,0.647599,0.679786,0.62401,0.726678]
area_under_roc_curve
0.728619 [0.82126,0.603162,0.675395,0.660138,0.748112]
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
0.566666 [0.690909,0.3,0.481081,0.430233,0.652997]
f_measure
0.559626 [0.713154,0.356164,0.482192,0.351351,0.618076]
f_measure
0.568054 [0.720635,0.34965,0.480418,0.402235,0.624025]
f_measure
0.567114 [0.702866,0.294574,0.489247,0.478723,0.620579]
f_measure
0.543117 [0.692654,0.304348,0.454023,0.430233,0.588598]
f_measure
0.57011 [0.718033,0.394737,0.44898,0.380952,0.647646]
f_measure
0.563042 [0.707395,0.348485,0.473684,0.392405,0.627778]
f_measure
0.549789 [0.680982,0.241611,0.490463,0.420455,0.622222]
f_measure
0.569027 [0.710247,0.415584,0.506964,0.353591,0.613445]
f_measure
0.573589 [0.708709,0.319444,0.494737,0.421053,0.646465]
kappa
0.447412
kappa
0.437252
kappa
0.446491
kappa
0.447674
kappa
0.415059
kappa
0.451003
kappa
0.441208
kappa
0.424004
kappa
0.439852
kappa
0.456167
kb_relative_information_score
472.243438
kb_relative_information_score
464.119041
kb_relative_information_score
472.299458
kb_relative_information_score
474.62393
kb_relative_information_score
447.138484
kb_relative_information_score
475.813259
kb_relative_information_score
467.978698
kb_relative_information_score
451.196399
kb_relative_information_score
468.265936
kb_relative_information_score
479.051581
mean_absolute_error
0.164372
mean_absolute_error
0.166397
mean_absolute_error
0.165182
mean_absolute_error
0.164539
mean_absolute_error
0.173455
mean_absolute_error
0.162918
mean_absolute_error
0.164539
mean_absolute_error
0.171834
mean_absolute_error
0.166971
mean_absolute_error
0.162918
mean_prior_absolute_error
0.306514
mean_prior_absolute_error
0.306514
mean_prior_absolute_error
0.306514
mean_prior_absolute_error
0.306461
mean_prior_absolute_error
0.306393
mean_prior_absolute_error
0.306464
mean_prior_absolute_error
0.306464
mean_prior_absolute_error
0.306506
mean_prior_absolute_error
0.306506
mean_prior_absolute_error
0.306506
number_of_instances
988 [274,100,210,109,295]
number_of_instances
988 [274,100,210,109,295]
number_of_instances
988 [274,100,210,109,295]
number_of_instances
987 [274,99,210,109,295]
number_of_instances
987 [275,99,210,108,295]
number_of_instances
987 [274,100,210,108,295]
number_of_instances
987 [274,100,210,108,295]
number_of_instances
987 [274,100,209,109,295]
number_of_instances
987 [274,100,209,109,295]
number_of_instances
987 [274,100,209,109,295]
precision
0.582293 [0.590674,0.525,0.55625,0.587302,0.610619]
precision
0.588109 [0.630252,0.565217,0.567742,0.666667,0.542199]
precision
0.578043 [0.63764,0.581395,0.531792,0.514286,0.578035]
precision
0.588635 [0.598972,0.633333,0.561728,0.56962,0.590214]
precision
0.564522 [0.589286,0.538462,0.572464,0.578125,0.539548]
precision
0.588044 [0.651786,0.576923,0.578947,0.533333,0.559113]
precision
0.605661 [0.632184,0.71875,0.613636,0.62,0.531765]
precision
0.556735 [0.587302,0.367347,0.56962,0.552239,0.585075]
precision
0.584899 [0.688356,0.592593,0.606667,0.444444,0.522673]
precision
0.582958 [0.602041,0.522727,0.549708,0.493827,0.64214]
predictive_accuracy
0.589069
predictive_accuracy
0.584008
predictive_accuracy
0.587045
predictive_accuracy
0.588652
predictive_accuracy
0.566363
predictive_accuracy
0.592705
predictive_accuracy
0.588652
predictive_accuracy
0.570415
predictive_accuracy
0.582573
predictive_accuracy
0.592705
prior_entropy
2.19356
prior_entropy
2.19356
prior_entropy
2.19356
prior_entropy
2.19356
prior_entropy
2.19356
prior_entropy
2.19356
prior_entropy
2.19356
prior_entropy
2.19356
prior_entropy
2.19356
prior_entropy
2.19356
recall
0.589069 [0.832117,0.21,0.42381,0.33945,0.701695]
recall
0.584008 [0.821168,0.26,0.419048,0.238532,0.718644]
recall
0.587045 [0.828467,0.25,0.438095,0.330275,0.677966]
recall
0.588652 [0.850365,0.191919,0.433333,0.412844,0.654237]
recall
0.566363 [0.84,0.212121,0.37619,0.342593,0.647458]
recall
0.592705 [0.79927,0.3,0.366667,0.296296,0.769492]
recall
0.588652 [0.80292,0.23,0.385714,0.287037,0.766102]
recall
0.570415 [0.810219,0.18,0.430622,0.33945,0.664407]
recall
0.582573 [0.733577,0.32,0.435407,0.293578,0.742373]
recall
0.592705 [0.861314,0.23,0.449761,0.366972,0.650847]
relative_absolute_error
0.536264
relative_absolute_error
0.542868
relative_absolute_error
0.538905
relative_absolute_error
0.536901
relative_absolute_error
0.56612
relative_absolute_error
0.531605
relative_absolute_error
0.536895
relative_absolute_error
0.560622
relative_absolute_error
0.544755
relative_absolute_error
0.531533
root_mean_prior_squared_error
0.391496
root_mean_prior_squared_error
0.391496
root_mean_prior_squared_error
0.391496
root_mean_prior_squared_error
0.391427
root_mean_prior_squared_error
0.39134
root_mean_prior_squared_error
0.391432
root_mean_prior_squared_error
0.391432
root_mean_prior_squared_error
0.391485
root_mean_prior_squared_error
0.391485
root_mean_prior_squared_error
0.391485
root_mean_squared_error
0.405429
root_mean_squared_error
0.407918
root_mean_squared_error
0.406426
root_mean_squared_error
0.405634
root_mean_squared_error
0.416479
root_mean_squared_error
0.403631
root_mean_squared_error
0.405634
root_mean_squared_error
0.414528
root_mean_squared_error
0.40862
root_mean_squared_error
0.403631
root_relative_squared_error
1.03559
root_relative_squared_error
1.041947
root_relative_squared_error
1.038137
root_relative_squared_error
1.036296
root_relative_squared_error
1.064238
root_relative_squared_error
1.031166
root_relative_squared_error
1.036283
root_relative_squared_error
1.058863
root_relative_squared_error
1.043771
root_relative_squared_error
1.031026
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