Task
Supervised Classification on lung-cancer

Supervised Classification on lung-cancer

Task 2372 Supervised Classification lung-cancer 458 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6049, f_measure: 0.5, kappa: 0.2404, kb_relative_information_score: 8.1192, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1.57, recall: 0.5, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5354, root_relative_squared_error: 1.1429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.4649, kappa: 0.2159, kb_relative_information_score: 8.0985, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.4732, predictive_accuracy: 0.5, prior_entropy: 1.57, recall: 0.5, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.4703, kappa: 0.205, kb_relative_information_score: 6.5352, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5022, predictive_accuracy: 0.5, prior_entropy: 1.57, recall: 0.5, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.9237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.4648, kappa: 0.1965, kb_relative_information_score: 8.6574, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.4621, predictive_accuracy: 0.4688, prior_entropy: 1.57, recall: 0.4688, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5951, root_relative_squared_error: 1.2705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.4728, kappa: 0.1893, kb_relative_information_score: 6.2135, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.4784, predictive_accuracy: 0.4688, prior_entropy: 1.57, recall: 0.4688, relative_absolute_error: 0.8703, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0833,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.1).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.4836, kappa: 0.1917, kb_relative_information_score: 9.4288, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5152, predictive_accuracy: 0.4688, prior_entropy: 1.57, recall: 0.4688, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.1242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.5366, kappa: 0.2878, kb_relative_information_score: 7.9143, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5751, predictive_accuracy: 0.5313, prior_entropy: 1.57, recall: 0.5313, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.5384, kappa: 0.2771, kb_relative_information_score: 10.5172, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5566, predictive_accuracy: 0.5313, prior_entropy: 1.57, recall: 0.5313, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.4877, kappa: 0.2392, kb_relative_information_score: 6.7592, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.487, predictive_accuracy: 0.5, prior_entropy: 1.57, recall: 0.5, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.526, root_relative_squared_error: 1.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.5688, kappa: 0.3383, kb_relative_information_score: 11.0327, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.596, predictive_accuracy: 0.5625, prior_entropy: 1.57, recall: 0.5625, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.0956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.4486, kappa: 0.1542, kb_relative_information_score: 4.3774, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.479, predictive_accuracy: 0.4375, prior_entropy: 1.57, recall: 0.4375, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.5561, kappa: 0.3469, kb_relative_information_score: 12.169, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5625, predictive_accuracy: 0.5625, prior_entropy: 1.57, recall: 0.5625, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5327, root_relative_squared_error: 1.1373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.5252, kappa: 0.3003, kb_relative_information_score: 10.6135, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5297, predictive_accuracy: 0.5313, prior_entropy: 1.57, recall: 0.5313, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5616, root_relative_squared_error: 1.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.6403, kappa: 0.4921, kb_relative_information_score: 16.9087, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.661, predictive_accuracy: 0.6563, prior_entropy: 1.57, recall: 0.6563, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.383, root_relative_squared_error: 0.8176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.7173, kappa: 0.5765, kb_relative_information_score: 18.7738, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.7318, predictive_accuracy: 0.7188, prior_entropy: 1.57, recall: 0.7188, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.6761, kappa: 0.5362, kb_relative_information_score: 16.5252, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.6939, predictive_accuracy: 0.6875, prior_entropy: 1.57, recall: 0.6875, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7173, kappa: 0.5765, kb_relative_information_score: 17.1531, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.7318, predictive_accuracy: 0.7188, prior_entropy: 1.57, recall: 0.7188, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6113, f_measure: 0.4538, kappa: 0.1504, kb_relative_information_score: 6.2329, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5032, predictive_accuracy: 0.4375, prior_entropy: 1.57, recall: 0.4375, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.4034, kappa: 0.1032, kb_relative_information_score: 7.2823, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.4016, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.5967, kappa: 0.3772, kb_relative_information_score: 8.8488, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.6073, predictive_accuracy: 0.5938, prior_entropy: 1.57, recall: 0.5938, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.5151, kappa: 0.3023, kb_relative_information_score: 6.5667, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5158, predictive_accuracy: 0.5313, prior_entropy: 1.57, recall: 0.5313, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4172, f_measure: 0.2347, kb_relative_information_score: -0.0354, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.165, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4701, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.6568, kappa: 0.4891, kb_relative_information_score: 13.3688, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.7063, predictive_accuracy: 0.6563, prior_entropy: 1.57, recall: 0.6563, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.5126, kappa: 0.3033, kb_relative_information_score: 12.9787, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5357, predictive_accuracy: 0.5313, prior_entropy: 1.57, recall: 0.5313, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.4713, kappa: 0.2347, kb_relative_information_score: 7.703, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5375, predictive_accuracy: 0.5, prior_entropy: 1.57, recall: 0.5, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.4105, kappa: 0.1019, kb_relative_information_score: 4.943, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.4286, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5759, root_relative_squared_error: 1.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.4105, kappa: 0.1019, kb_relative_information_score: 4.943, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.4286, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5759, root_relative_squared_error: 1.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.5131, kappa: 0.2347, kb_relative_information_score: 10.5822, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5429, predictive_accuracy: 0.5, prior_entropy: 1.57, recall: 0.5, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.1088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.594, kappa: 0.3873, kb_relative_information_score: 11.7839, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5996, predictive_accuracy: 0.5938, prior_entropy: 1.57, recall: 0.5938, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5902, f_measure: 0.375, kappa: 0.0504, kb_relative_information_score: 6.7922, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.375, predictive_accuracy: 0.375, prior_entropy: 1.57, recall: 0.375, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4811, root_relative_squared_error: 1.0271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.7104, kappa: 0.5796, kb_relative_information_score: 17.4916, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.7162, predictive_accuracy: 0.7188, prior_entropy: 1.57, recall: 0.7188, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.5008, kappa: 0.2437, kb_relative_information_score: 9.9438, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5201, predictive_accuracy: 0.5, prior_entropy: 1.57, recall: 0.5, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.6531, kappa: 0.4801, kb_relative_information_score: 12.9871, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.6518, predictive_accuracy: 0.6563, prior_entropy: 1.57, recall: 0.6563, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.5384, kappa: 0.2771, kb_relative_information_score: 10.5172, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5566, predictive_accuracy: 0.5313, prior_entropy: 1.57, recall: 0.5313, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.5966, kappa: 0.3678, kb_relative_information_score: 6.8098, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.6393, predictive_accuracy: 0.5938, prior_entropy: 1.57, recall: 0.5938, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.5131, kappa: 0.2347, kb_relative_information_score: 10.5822, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5429, predictive_accuracy: 0.5, prior_entropy: 1.57, recall: 0.5, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.1088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.5688, kappa: 0.3383, kb_relative_information_score: 11.0327, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.596, predictive_accuracy: 0.5625, prior_entropy: 1.57, recall: 0.5625, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.0956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2347, kb_relative_information_score: 4.6963, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.165, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6292, root_relative_squared_error: 1.3431, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2347, kb_relative_information_score: 4.6963, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.165, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6292, root_relative_squared_error: 1.3431, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2347, kb_relative_information_score: 4.6963, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.165, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6292, root_relative_squared_error: 1.3431, scimark_benchmark: 1382.96, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2347, kb_relative_information_score: 4.6963, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.165, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6292, root_relative_squared_error: 1.3431, scimark_benchmark: 1699.8695, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5576, f_measure: 0.3949, kappa: 0.1111, kb_relative_information_score: 6.9476, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.3906, predictive_accuracy: 0.4063, prior_entropy: 1.57, recall: 0.4063, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5679, root_relative_squared_error: 1.2123, scimark_benchmark: 1918.4916, usercpu_time_millis: 1187.5, usercpu_time_millis_training: 1187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.4231, kappa: 0.1937, kb_relative_information_score: 9.7842, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.385, predictive_accuracy: 0.5, prior_entropy: 1.57, recall: 0.5, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.0058, scimark_benchmark: 1931.8468, usercpu_time_millis: 531.25, usercpu_time_millis_training: 531.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.3999, kappa: 0.1748, kb_relative_information_score: 9.2827, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.4336, predictive_accuracy: 0.4375, prior_entropy: 1.57, recall: 0.4375, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0288, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.3376, kappa: -0.0291, kb_relative_information_score: 5.6793, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.424, predictive_accuracy: 0.3438, prior_entropy: 1.57, recall: 0.3438, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9662, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.5519, kappa: 0.3507, kb_relative_information_score: 10.7633, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.6042, predictive_accuracy: 0.5625, prior_entropy: 1.57, recall: 0.5625, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.9431, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.4794, kappa: 0.2127, kb_relative_information_score: 6.053, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.5743, predictive_accuracy: 0.4688, prior_entropy: 1.57, recall: 0.4688, relative_absolute_error: 0.8835, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9888, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.464, kappa: 0.1965, kb_relative_information_score: 6.8962, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.4754, predictive_accuracy: 0.4688, prior_entropy: 1.57, recall: 0.4688, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.1023, scimark_benchmark: 1779.392, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, f_measure: 0.4278, kappa: 0.1084, kb_relative_information_score: 5.4281, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.4756, predictive_accuracy: 0.4375, prior_entropy: 1.57, recall: 0.4375, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9922, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.4356, kappa: 0.1553, kb_relative_information_score: 6.1167, mean_absolute_error: 0.3847, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.4632, predictive_accuracy: 0.4688, prior_entropy: 1.57, recall: 0.4688, relative_absolute_error: 0.8758, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.968, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.6186, kappa: 0.4336, kb_relative_information_score: 13.5269, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.6522, predictive_accuracy: 0.625, prior_entropy: 1.57, recall: 0.625, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9504, scimark_benchmark: 1732.2066,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs