Task
Supervised Classification on visualizing_hamster

Supervised Classification on visualizing_hamster

Task 3756 Supervised Classification visualizing_hamster 552 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: 0.7598, f_measure: 0.6845, kappa: 0.3623, kb_relative_information_score: 29.5286, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6842, predictive_accuracy: 0.6849, prior_entropy: 0.9937, recall: 0.6849, relative_absolute_error: 0.5891, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4777, f_measure: 0.4549, kappa: -0.004, kb_relative_information_score: 0.9135, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5006, predictive_accuracy: 0.5342, prior_entropy: 0.9937, recall: 0.5342, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.5988, kappa: 0.2003, kb_relative_information_score: 7.2241, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.617, predictive_accuracy: 0.6164, prior_entropy: 0.9937, recall: 0.6164, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5345, f_measure: 0.5393, kappa: 0.0702, kb_relative_information_score: 6.1375, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5408, predictive_accuracy: 0.5479, prior_entropy: 0.9937, recall: 0.5479, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6724, root_relative_squared_error: 1.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5386, f_measure: 0.5197, kappa: 0.0708, kb_relative_information_score: 1.9577, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5529, predictive_accuracy: 0.5616, prior_entropy: 0.9937, recall: 0.5616, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4835, kappa: -0.0425, kb_relative_information_score: 1.4996, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.4827, predictive_accuracy: 0.4932, prior_entropy: 0.9937, recall: 0.4932, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6368, root_relative_squared_error: 1.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.587, kappa: 0.174, kb_relative_information_score: 7.3625, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6002, predictive_accuracy: 0.6027, prior_entropy: 0.9937, recall: 0.6027, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3992, f_measure: 0.4556, kappa: -0.0853, kb_relative_information_score: -4.3311, mean_absolute_error: 0.5202, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.4567, predictive_accuracy: 0.4795, prior_entropy: 0.9937, recall: 0.4795, relative_absolute_error: 1.0497, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3636, f_measure: 0.4199, kappa: -0.1293, kb_relative_information_score: -5.4199, mean_absolute_error: 0.5268, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.42, predictive_accuracy: 0.4658, prior_entropy: 0.9937, recall: 0.4658, relative_absolute_error: 1.0631, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5556, root_relative_squared_error: 1.1163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.6151, kappa: 0.2216, kb_relative_information_score: 6.7457, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6147, predictive_accuracy: 0.6164, prior_entropy: 0.9937, recall: 0.6164, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.6941, kappa: 0.3818, kb_relative_information_score: 14.4643, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6993, predictive_accuracy: 0.6986, prior_entropy: 0.9937, recall: 0.6986, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4682, f_measure: 0.3879, kb_relative_information_score: -0.057, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.3002, predictive_accuracy: 0.5479, prior_entropy: 0.9937, recall: 0.5479, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6813, kappa: 0.3555, kb_relative_information_score: 17.4163, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6842, predictive_accuracy: 0.6849, prior_entropy: 0.9937, recall: 0.6849, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.5513, kappa: 0.096, kb_relative_information_score: 5.8883, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5547, predictive_accuracy: 0.5616, prior_entropy: 0.9937, recall: 0.5616, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.0968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.589, kappa: 0.1705, kb_relative_information_score: 7.9252, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.589, predictive_accuracy: 0.589, prior_entropy: 0.9937, recall: 0.589, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.5351, kappa: 0.0652, kb_relative_information_score: -0.0674, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5391, predictive_accuracy: 0.5479, prior_entropy: 0.9937, recall: 0.5479, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.0309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.628, kappa: 0.2474, kb_relative_information_score: 17.8662, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.628, predictive_accuracy: 0.6301, prior_entropy: 0.9937, recall: 0.6301, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.5575, kappa: 0.1337, kb_relative_information_score: 0.5101, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5888, predictive_accuracy: 0.589, prior_entropy: 0.9937, recall: 0.589, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.587, kappa: 0.174, kb_relative_information_score: 8.1517, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6002, predictive_accuracy: 0.6027, prior_entropy: 0.9937, recall: 0.6027, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4682, f_measure: 0.3879, kb_relative_information_score: -0.057, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.3002, predictive_accuracy: 0.5479, prior_entropy: 0.9937, recall: 0.5479, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4492, f_measure: 0.4388, kappa: 0.0387, kb_relative_information_score: 1.7176, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6067, predictive_accuracy: 0.5616, prior_entropy: 0.9937, recall: 0.5616, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.597, root_relative_squared_error: 1.1996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.6408, kappa: 0.2734, kb_relative_information_score: 11.7112, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6417, predictive_accuracy: 0.6438, prior_entropy: 0.9937, recall: 0.6438, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6231, kappa: 0.2393, kb_relative_information_score: 5.7774, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6279, predictive_accuracy: 0.6301, prior_entropy: 0.9937, recall: 0.6301, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4682, f_measure: 0.3879, kb_relative_information_score: -0.0276, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.3002, predictive_accuracy: 0.5479, prior_entropy: 0.9937, recall: 0.5479, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4777, kappa: -0.0564, kb_relative_information_score: -1.0654, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.4766, predictive_accuracy: 0.4795, prior_entropy: 0.9937, recall: 0.4795, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.6663, kappa: 0.3256, kb_relative_information_score: 9.7608, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6706, predictive_accuracy: 0.6712, prior_entropy: 0.9937, recall: 0.6712, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.631, kappa: 0.2593, kb_relative_information_score: 7.7136, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6339, predictive_accuracy: 0.6301, prior_entropy: 0.9937, recall: 0.6301, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5322, root_relative_squared_error: 1.0694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.3816, kappa: -0.0273, kb_relative_information_score: 4.1121, mean_absolute_error: 0.4658, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.2968, predictive_accuracy: 0.5342, prior_entropy: 0.9937, recall: 0.5342, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6825, root_relative_squared_error: 1.3712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4091, f_measure: 0.4376, kappa: -0.1169, kb_relative_information_score: -3.7022, mean_absolute_error: 0.5165, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.4374, predictive_accuracy: 0.4658, prior_entropy: 0.9937, recall: 0.4658, relative_absolute_error: 1.0423, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5407, root_relative_squared_error: 1.0864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.709, kappa: 0.4115, kb_relative_information_score: 16.1306, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7125, predictive_accuracy: 0.7123, prior_entropy: 0.9937, recall: 0.7123, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3879, kb_relative_information_score: 6.1375, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.3002, predictive_accuracy: 0.5479, prior_entropy: 0.9937, recall: 0.5479, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6724, root_relative_squared_error: 1.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5754, f_measure: 0.5818, kappa: 0.1695, kb_relative_information_score: 8.8806, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6021, predictive_accuracy: 0.6027, prior_entropy: 0.9937, recall: 0.6027, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4409, f_measure: 0.5233, kappa: 0.0395, kb_relative_information_score: -2.6063, mean_absolute_error: 0.5118, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5252, predictive_accuracy: 0.5342, prior_entropy: 0.9937, recall: 0.5342, relative_absolute_error: 1.0328, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.0989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.5197, kappa: 0.0708, kb_relative_information_score: 0.2932, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5529, predictive_accuracy: 0.5616, prior_entropy: 0.9937, recall: 0.5616, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5754, f_measure: 0.5818, kappa: 0.1695, kb_relative_information_score: 8.8806, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6021, predictive_accuracy: 0.6027, prior_entropy: 0.9937, recall: 0.6027, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3879, kb_relative_information_score: 6.1375, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.3002, predictive_accuracy: 0.5479, prior_entropy: 0.9937, recall: 0.5479, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6724, root_relative_squared_error: 1.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4439, f_measure: 0.5233, kappa: 0.0395, kb_relative_information_score: -2.3395, mean_absolute_error: 0.51, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5252, predictive_accuracy: 0.5342, prior_entropy: 0.9937, recall: 0.5342, relative_absolute_error: 1.0292, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5446, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4439, f_measure: 0.5233, kappa: 0.0395, kb_relative_information_score: -2.3395, mean_absolute_error: 0.51, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5252, predictive_accuracy: 0.5342, prior_entropy: 0.9937, recall: 0.5342, relative_absolute_error: 1.0292, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5446, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5924, f_measure: 0.4953, kappa: -0.0024, kb_relative_information_score: 1.3858, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5032, predictive_accuracy: 0.5205, prior_entropy: 0.9937, recall: 0.5205, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7107, kappa: 0.4147, kb_relative_information_score: 19.4651, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7115, predictive_accuracy: 0.7123, prior_entropy: 0.9937, recall: 0.7123, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.8976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.7251, kappa: 0.444, kb_relative_information_score: 32.4673, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.7252, predictive_accuracy: 0.726, prior_entropy: 0.9937, recall: 0.726, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5234, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.5909, kappa: 0.2138, kb_relative_information_score: 18.2897, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6572, predictive_accuracy: 0.6301, prior_entropy: 0.9937, recall: 0.6301, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6082, root_relative_squared_error: 1.222, scimark_benchmark: 1461.2356, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4758, f_measure: 0.449, kappa: -0.0512, kb_relative_information_score: 0.0614, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.4661, predictive_accuracy: 0.5068, prior_entropy: 0.9937, recall: 0.5068, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.7022, root_relative_squared_error: 1.411, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.5069, kappa: 0.0085, kb_relative_information_score: 2.0868, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5091, predictive_accuracy: 0.5205, prior_entropy: 0.9937, recall: 0.5205, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6924, root_relative_squared_error: 1.3913, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.5102, kappa: 0.0656, kb_relative_information_score: -0.37, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5539, predictive_accuracy: 0.5616, prior_entropy: 0.9937, recall: 0.5616, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0418, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.4842, kappa: -0.0282, kb_relative_information_score: -0.5966, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.4888, predictive_accuracy: 0.5068, prior_entropy: 0.9937, recall: 0.5068, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0215, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.3816, kappa: -0.0273, kb_relative_information_score: 4.1121, mean_absolute_error: 0.4658, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.2968, predictive_accuracy: 0.5342, prior_entropy: 0.9937, recall: 0.5342, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6825, root_relative_squared_error: 1.3712, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.3816, kappa: -0.0273, kb_relative_information_score: 4.1121, mean_absolute_error: 0.4658, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.2968, predictive_accuracy: 0.5342, prior_entropy: 0.9937, recall: 0.5342, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6825, root_relative_squared_error: 1.3712, scimark_benchmark: 1049.3818, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5576, f_measure: 0.5351, kappa: 0.0652, kb_relative_information_score: 2.5938, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5391, predictive_accuracy: 0.5479, prior_entropy: 0.9937, recall: 0.5479, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0308, scimark_benchmark: 1140.9017, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.587, kappa: 0.174, kb_relative_information_score: 7.3625, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6002, predictive_accuracy: 0.6027, prior_entropy: 0.9937, recall: 0.6027, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0689, scimark_benchmark: 962.2346, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5752, kappa: 0.1479, kb_relative_information_score: 1.7782, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5843, predictive_accuracy: 0.589, prior_entropy: 0.9937, recall: 0.589, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0358, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, f_measure: 0.5389, kappa: 0.1023, kb_relative_information_score: 3.5926, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5715, predictive_accuracy: 0.5753, prior_entropy: 0.9937, recall: 0.5753, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.1974, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6091, f_measure: 0.5686, kappa: 0.1603, kb_relative_information_score: 12.0587, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6094, predictive_accuracy: 0.6027, prior_entropy: 0.9937, recall: 0.6027, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5584, root_relative_squared_error: 1.122, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, f_measure: 0.5915, kappa: 0.1785, kb_relative_information_score: 6.1093, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5992, predictive_accuracy: 0.6027, prior_entropy: 0.9937, recall: 0.6027, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9864, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.5198, kappa: 0.0296, kb_relative_information_score: 1.7067, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5193, predictive_accuracy: 0.5205, prior_entropy: 0.9937, recall: 0.5205, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.0582, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.6663, kappa: 0.3256, kb_relative_information_score: 9.7608, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.6706, predictive_accuracy: 0.6712, prior_entropy: 0.9937, recall: 0.6712, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9971, scimark_benchmark: 1873.1108,

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