3963816
27
Bernd Bischl
146567
Supervised Classification
predictive_accuracy
4840
mlr.classif.rpart(24)
24109
xval
0
4840
openml.seed
1
4840
openml.kind
Mersenne-Twister
4840
openml.normal.kind
Inversion
4840
useR17
4537
GesturePhaseSegmentationRAW
https://www.openml.org/data/download/1798764/php8F3DIv
-1
8899250
description
https://api.openml.org/data/download/8899250/description62ce227f7079.xml
-1
8899251
predictions
https://api.openml.org/data/download/8899251/predictions62ce6efedf13.arff
area_under_roc_curve
0.715748 [0.610427,0.613125,0.867058,0.5,0.761836,0.5]
average_cost
0
f_measure
0.525545 [0.321275,0.387609,0.768577,0,0.658362,0]
kappa
0.427405
kb_relative_information_score
4438.826996
mean_absolute_error
0.14076
mean_prior_absolute_error
0.255341
number_of_instances
9901 [998,2096,2769,1087,2950,1]
precision
0.493254 [0.413902,0.418232,0.662484,0,0.596477,0]
predictive_accuracy
0.577719
prior_entropy
2.194893
recall
0.577719 [0.262525,0.361164,0.915132,0,0.734576,0]
relative_absolute_error
0.551263
root_mean_prior_squared_error
0.357301
root_mean_squared_error
0.37518
root_relative_squared_error
1.05004
total_cost
0
usercpu_time_millis
1.314
usercpu_time_millis_testing
0.0250000000000004
usercpu_time_millis_training
1.289
area_under_roc_curve
0.713827 [0.585309,0.634879,0.858157,0.5,0.757367,0.5]
area_under_roc_curve
0.720781 [0.625701,0.613736,0.883059,0.5,0.75809,0.0]
area_under_roc_curve
0.710616 [0.619213,0.587169,0.857593,0.5,0.76887,0.0]
area_under_roc_curve
0.724187 [0.629831,0.621605,0.878034,0.5,0.767224,0.0]
area_under_roc_curve
0.713546 [0.605337,0.594986,0.880747,0.5,0.756127,0.0]
area_under_roc_curve
0.718293 [0.605281,0.626895,0.875839,0.5,0.754079,0.0]
area_under_roc_curve
0.7045 [0.58691,0.602289,0.858697,0.5,0.747202,0.0]
area_under_roc_curve
0.722368 [0.606404,0.625183,0.869229,0.5,0.774369,0.0]
area_under_roc_curve
0.721121 [0.635337,0.623443,0.854489,0.5,0.775454,0.0]
area_under_roc_curve
0.70823 [0.604719,0.600916,0.854738,0.5,0.759578,0.0]
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
average_cost
0
f_measure
0.52165 [0.277372,0.424552,0.750365,0,0.652504,0]
f_measure
0.533596 [0.351515,0.390123,0.787879,0,0.655226,0]
f_measure
0.516592 [0.339394,0.340426,0.757991,0,0.665676,0]
f_measure
0.541107 [0.371795,0.40201,0.790551,0,0.662757,0]
f_measure
0.520564 [0.3125,0.354497,0.788906,0,0.649123,0]
f_measure
0.529149 [0.305882,0.41039,0.780488,0,0.648485,0]
f_measure
0.509063 [0.265896,0.371287,0.758725,0,0.641509,0]
f_measure
0.533431 [0.309524,0.407507,0.768311,0,0.673716,0]
f_measure
0.536293 [0.373494,0.405941,0.75188,0,0.678179,0]
f_measure
0.514062 [0.304094,0.367347,0.752656,0,0.656394,0]
kappa
0.425976
kappa
0.436984
kappa
0.417185
kappa
0.445784
kappa
0.423285
kappa
0.432259
kappa
0.40244
kappa
0.440725
kappa
0.438303
kappa
0.411171
kb_relative_information_score
443.105598
kb_relative_information_score
452.193781
kb_relative_information_score
435.861915
kb_relative_information_score
460.434158
kb_relative_information_score
439.974647
kb_relative_information_score
447.447779
kb_relative_information_score
421.322361
kb_relative_information_score
454.146771
kb_relative_information_score
454.525733
kb_relative_information_score
429.814254
mean_absolute_error
0.140262
mean_absolute_error
0.138721
mean_absolute_error
0.143098
mean_absolute_error
0.136027
mean_absolute_error
0.141414
mean_absolute_error
0.139731
mean_absolute_error
0.147475
mean_absolute_error
0.137374
mean_absolute_error
0.138384
mean_absolute_error
0.145118
mean_prior_absolute_error
0.25539
mean_prior_absolute_error
0.255312
mean_prior_absolute_error
0.255349
mean_prior_absolute_error
0.255349
mean_prior_absolute_error
0.255349
mean_prior_absolute_error
0.255349
mean_prior_absolute_error
0.255315
mean_prior_absolute_error
0.255315
mean_prior_absolute_error
0.255315
mean_prior_absolute_error
0.255372
number_of_instances
991 [99,210,277,109,295,1]
number_of_instances
990 [99,210,277,109,295,0]
number_of_instances
990 [100,209,277,109,295,0]
number_of_instances
990 [100,209,277,109,295,0]
number_of_instances
990 [100,209,277,109,295,0]
number_of_instances
990 [100,209,277,109,295,0]
number_of_instances
990 [100,210,277,108,295,0]
number_of_instances
990 [100,210,277,108,295,0]
number_of_instances
990 [100,210,277,108,295,0]
number_of_instances
990 [100,210,276,109,295,0]
precision
0.499017 [0.5,0.458564,0.629902,0,0.590659,0]
precision
0.500672 [0.439394,0.405128,0.678851,0,0.606936,0]
precision
0.484339 [0.430769,0.383234,0.655263,0,0.592593,0]
precision
0.511853 [0.517857,0.42328,0.701117,0,0.583979,0]
precision
0.488387 [0.416667,0.39645,0.688172,0,0.570694,0]
precision
0.495977 [0.371429,0.448864,0.675462,0,0.586301,0]
precision
0.475208 [0.315068,0.386598,0.65445,0,0.59824,0]
precision
0.502025 [0.382353,0.466258,0.655612,0,0.607629,0]
precision
0.505584 [0.469697,0.42268,0.64433,0,0.631579,0]
precision
0.480719 [0.366197,0.395604,0.64752,0,0.601695,0]
predictive_accuracy
0.579213
predictive_accuracy
0.583838
predictive_accuracy
0.570707
predictive_accuracy
0.591919
predictive_accuracy
0.575758
predictive_accuracy
0.580808
predictive_accuracy
0.557576
predictive_accuracy
0.587879
predictive_accuracy
0.584848
predictive_accuracy
0.564646
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
prior_entropy
2.194893
recall
0.579213 [0.191919,0.395238,0.927798,0,0.728814,0]
recall
0.583838 [0.292929,0.37619,0.938628,0,0.711864,0]
recall
0.570707 [0.28,0.30622,0.898917,0,0.759322,0]
recall
0.591919 [0.29,0.382775,0.906137,0,0.766102,0]
recall
0.575758 [0.25,0.320574,0.924188,0,0.752542,0]
recall
0.580808 [0.26,0.37799,0.924188,0,0.725424,0]
recall
0.557576 [0.23,0.357143,0.902527,0,0.691525,0]
recall
0.587879 [0.26,0.361905,0.927798,0,0.755932,0]
recall
0.584848 [0.31,0.390476,0.902527,0,0.732203,0]
recall
0.564646 [0.26,0.342857,0.898551,0,0.722034,0]
relative_absolute_error
0.549208
relative_absolute_error
0.543338
relative_absolute_error
0.560401
relative_absolute_error
0.53271
relative_absolute_error
0.553808
relative_absolute_error
0.547215
relative_absolute_error
0.57762
relative_absolute_error
0.538057
relative_absolute_error
0.542013
relative_absolute_error
0.568261
root_mean_prior_squared_error
0.357369
root_mean_prior_squared_error
0.357259
root_mean_prior_squared_error
0.357311
root_mean_prior_squared_error
0.357311
root_mean_prior_squared_error
0.357311
root_mean_prior_squared_error
0.357311
root_mean_prior_squared_error
0.357263
root_mean_prior_squared_error
0.357263
root_mean_prior_squared_error
0.357263
root_mean_prior_squared_error
0.357343
root_mean_squared_error
0.374516
root_mean_squared_error
0.372452
root_mean_squared_error
0.378282
root_mean_squared_error
0.368818
root_mean_squared_error
0.376051
root_mean_squared_error
0.373806
root_mean_squared_error
0.384024
root_mean_squared_error
0.37064
root_mean_squared_error
0.372
root_mean_squared_error
0.380943
root_relative_squared_error
1.047981
root_relative_squared_error
1.042526
root_relative_squared_error
1.058691
root_relative_squared_error
1.032204
root_relative_squared_error
1.052445
root_relative_squared_error
1.046162
root_relative_squared_error
1.074906
root_relative_squared_error
1.037441
root_relative_squared_error
1.041248
root_relative_squared_error
1.066043
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