Task
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 97291 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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97291 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.8886, kappa: 0.7743, kb_relative_information_score: 7720.4626, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8902, predictive_accuracy: 0.8891, prior_entropy: 0.9924, recall: 0.8891, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8731, kappa: 0.743, kb_relative_information_score: 8835.7789, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.874, predictive_accuracy: 0.8736, prior_entropy: 0.9924, recall: 0.8736, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.622, kappa: 0.2459, kb_relative_information_score: 888.1156, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6446, predictive_accuracy: 0.6401, prior_entropy: 0.9924, recall: 0.6401, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9092, kappa: 0.8161, kb_relative_information_score: 9084.8547, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.91, predictive_accuracy: 0.9095, prior_entropy: 0.9924, recall: 0.9095, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7775, kappa: 0.5497, kb_relative_information_score: 5395.4036, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7775, predictive_accuracy: 0.7779, prior_entropy: 0.9924, recall: 0.7779, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.1026, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9117, kappa: 0.8211, kb_relative_information_score: 7827.7019, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9134, predictive_accuracy: 0.9121, prior_entropy: 0.9924, recall: 0.9121, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8322, kappa: 0.6599, kb_relative_information_score: 7200.3943, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8338, predictive_accuracy: 0.8331, prior_entropy: 0.9924, recall: 0.8331, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -49.9614, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -20.7295, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9067, kappa: 0.8111, kb_relative_information_score: 9033.9909, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9075, predictive_accuracy: 0.907, prior_entropy: 0.9924, recall: 0.907, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.284, root_relative_squared_error: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9296, kappa: 0.8575, kb_relative_information_score: 8694.379, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9305, predictive_accuracy: 0.9298, prior_entropy: 0.9924, recall: 0.9298, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.907, kappa: 0.8117, kb_relative_information_score: 8965.473, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.908, predictive_accuracy: 0.9073, prior_entropy: 0.9924, recall: 0.9073, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -83.6036, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9323, kappa: 0.8629, kb_relative_information_score: 10476.7269, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9325, predictive_accuracy: 0.9324, prior_entropy: 0.9924, recall: 0.9324, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.4923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8314, kappa: 0.6585, kb_relative_information_score: 7055.1061, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8329, predictive_accuracy: 0.8323, prior_entropy: 0.9924, recall: 0.8323, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 24.051, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 14.2052, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.6506, kappa: 0.2969, kb_relative_information_score: 1006.572, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6642, predictive_accuracy: 0.6617, prior_entropy: 0.9924, recall: 0.6617, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.6597, kappa: 0.3106, kb_relative_information_score: 2865.4555, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6596, predictive_accuracy: 0.6613, prior_entropy: 0.9924, recall: 0.6613, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7777, kappa: 0.5496, kb_relative_information_score: 5617.4019, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7795, predictive_accuracy: 0.7792, prior_entropy: 0.9924, recall: 0.7792, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9133, kappa: 0.8243, kb_relative_information_score: 8666.4026, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9142, predictive_accuracy: 0.9136, prior_entropy: 0.9924, recall: 0.9136, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.5781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.1072, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8796, kappa: 0.756, kb_relative_information_score: 7824.1664, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8809, predictive_accuracy: 0.8801, prior_entropy: 0.9924, recall: 0.8801, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.916, kappa: 0.83, kb_relative_information_score: 9292.8986, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9168, predictive_accuracy: 0.9163, prior_entropy: 0.9924, recall: 0.9163, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.5521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8987, kappa: 0.7948, kb_relative_information_score: 7289.7334, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9009, predictive_accuracy: 0.8993, prior_entropy: 0.9924, recall: 0.8993, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8928, kappa: 0.7829, kb_relative_information_score: 8524.4682, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8937, predictive_accuracy: 0.8932, prior_entropy: 0.9924, recall: 0.8932, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9007, kappa: 0.7989, kb_relative_information_score: 8663.5333, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9017, predictive_accuracy: 0.9011, prior_entropy: 0.9924, recall: 0.9011, relative_absolute_error: 0.4654, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.293, root_relative_squared_error: 0.5892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9065, kappa: 0.8107, kb_relative_information_score: 8984.0301, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9074, predictive_accuracy: 0.9068, prior_entropy: 0.9924, recall: 0.9068, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.5723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.646, kappa: 0.2843, kb_relative_information_score: 1936.4798, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6519, predictive_accuracy: 0.6531, prior_entropy: 0.9924, recall: 0.6531, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8718, kappa: 0.7404, kb_relative_information_score: 8781.9634, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8725, predictive_accuracy: 0.8722, prior_entropy: 0.9924, recall: 0.8722, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.8983, kappa: 0.7941, kb_relative_information_score: 8549.5343, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8992, predictive_accuracy: 0.8987, prior_entropy: 0.9924, recall: 0.8987, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8776, kappa: 0.752, kb_relative_information_score: 6349.4814, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8818, predictive_accuracy: 0.8786, prior_entropy: 0.9924, recall: 0.8786, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9338, kappa: 0.8661, kb_relative_information_score: 10081.0394, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9342, predictive_accuracy: 0.934, prior_entropy: 0.9924, recall: 0.934, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9367, kappa: 0.8718, kb_relative_information_score: 10302.7904, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.937, predictive_accuracy: 0.9368, prior_entropy: 0.9924, recall: 0.9368, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8759, kappa: 0.7485, kb_relative_information_score: 6388.4611, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8794, predictive_accuracy: 0.8768, prior_entropy: 0.9924, recall: 0.8768, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9123, kappa: 0.8225, kb_relative_information_score: 9196.6009, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9129, predictive_accuracy: 0.9126, prior_entropy: 0.9924, recall: 0.9126, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.5597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9268, kappa: 0.8517, kb_relative_information_score: 9571.4067, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9274, predictive_accuracy: 0.927, prior_entropy: 0.9924, recall: 0.927, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8869, kappa: 0.7708, kb_relative_information_score: 7556.0893, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8889, predictive_accuracy: 0.8875, prior_entropy: 0.9924, recall: 0.8875, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8511, kappa: 0.6984, kb_relative_information_score: 8749.7835, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8516, predictive_accuracy: 0.8515, prior_entropy: 0.9924, recall: 0.8515, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9124, kappa: 0.8227, kb_relative_information_score: 9615.9391, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9129, predictive_accuracy: 0.9126, prior_entropy: 0.9924, recall: 0.9126, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8807, kappa: 0.7582, kb_relative_information_score: 7259.8119, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8826, predictive_accuracy: 0.8813, prior_entropy: 0.9924, recall: 0.8813, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8919, kappa: 0.781, kb_relative_information_score: 7894.8761, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8934, predictive_accuracy: 0.8924, prior_entropy: 0.9924, recall: 0.8924, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8612, kappa: 0.7187, kb_relative_information_score: 5883.4655, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8658, predictive_accuracy: 0.8625, prior_entropy: 0.9924, recall: 0.8625, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9173, kappa: 0.8327, kb_relative_information_score: 9283.9186, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9179, predictive_accuracy: 0.9176, prior_entropy: 0.9924, recall: 0.9176, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.8957, kappa: 0.7887, kb_relative_information_score: 7168.8246, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8982, predictive_accuracy: 0.8963, prior_entropy: 0.9924, recall: 0.8963, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8833, kappa: 0.7636, kb_relative_information_score: 8137.6876, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8843, predictive_accuracy: 0.8837, prior_entropy: 0.9924, recall: 0.8837, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9013, kappa: 0.8001, kb_relative_information_score: 8705.6811, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9021, predictive_accuracy: 0.9016, prior_entropy: 0.9924, recall: 0.9016, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.5876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9095, kappa: 0.8167, kb_relative_information_score: 8659.2404, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9105, predictive_accuracy: 0.9098, prior_entropy: 0.9924, recall: 0.9098, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9372, kappa: 0.8729, kb_relative_information_score: 9560.4955, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9379, predictive_accuracy: 0.9374, prior_entropy: 0.9924, recall: 0.9374, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9201, kappa: 0.8383, kb_relative_information_score: 8897.8369, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9209, predictive_accuracy: 0.9204, prior_entropy: 0.9924, recall: 0.9204, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.28, root_relative_squared_error: 0.5631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.718, kappa: 0.4293, kb_relative_information_score: 5571.9388, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7179, predictive_accuracy: 0.7186, prior_entropy: 0.9924, recall: 0.7186, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9091, kappa: 0.8159, kb_relative_information_score: 9319.1336, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9098, predictive_accuracy: 0.9093, prior_entropy: 0.9924, recall: 0.9093, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9116, kappa: 0.8209, kb_relative_information_score: 7751.0382, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9134, predictive_accuracy: 0.912, prior_entropy: 0.9924, recall: 0.912, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.4511, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8753, kappa: 0.7473, kb_relative_information_score: 6769.0778, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8782, predictive_accuracy: 0.8762, prior_entropy: 0.9924, recall: 0.8762, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8802, kappa: 0.7573, kb_relative_information_score: 7967.5373, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8815, predictive_accuracy: 0.8807, prior_entropy: 0.9924, recall: 0.8807, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8964, kappa: 0.7901, kb_relative_information_score: 7694.3894, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8982, predictive_accuracy: 0.8969, prior_entropy: 0.9924, recall: 0.8969, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8974, kappa: 0.7923, kb_relative_information_score: 8637.6649, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8984, predictive_accuracy: 0.8978, prior_entropy: 0.9924, recall: 0.8978, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.5945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8809, kappa: 0.7589, kb_relative_information_score: 9054.0144, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8816, predictive_accuracy: 0.8813, prior_entropy: 0.9924, recall: 0.8813, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.298, root_relative_squared_error: 0.5992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.6852, kappa: 0.3621, kb_relative_information_score: 2653.9897, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6863, predictive_accuracy: 0.6877, prior_entropy: 0.9924, recall: 0.6877, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.6902, kappa: 0.3764, kb_relative_information_score: 1922.725, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.706, predictive_accuracy: 0.6997, prior_entropy: 0.9924, recall: 0.6997, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8887, kappa: 0.7745, kb_relative_information_score: 8372.6002, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8896, predictive_accuracy: 0.8891, prior_entropy: 0.9924, recall: 0.8891, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.934, kappa: 0.8663, kb_relative_information_score: 10131.9782, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9344, predictive_accuracy: 0.9341, prior_entropy: 0.9924, recall: 0.9341, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9056, kappa: 0.8088, kb_relative_information_score: 9016.1223, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9064, predictive_accuracy: 0.9059, prior_entropy: 0.9924, recall: 0.9059, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.8995, kappa: 0.7964, kb_relative_information_score: 8986.4493, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9003, predictive_accuracy: 0.8998, prior_entropy: 0.9924, recall: 0.8998, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.288, root_relative_squared_error: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9126, kappa: 0.823, kb_relative_information_score: 7858.7877, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9142, predictive_accuracy: 0.913, prior_entropy: 0.9924, recall: 0.913, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8918, kappa: 0.7809, kb_relative_information_score: 8308.4271, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8927, predictive_accuracy: 0.8922, prior_entropy: 0.9924, recall: 0.8922, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.893, kappa: 0.7834, kb_relative_information_score: 8939.423, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8936, predictive_accuracy: 0.8933, prior_entropy: 0.9924, recall: 0.8933, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8121, kappa: 0.6195, kb_relative_information_score: 8384.5032, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8126, predictive_accuracy: 0.8128, prior_entropy: 0.9924, recall: 0.8128, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8196, kappa: 0.635, kb_relative_information_score: 8625.4404, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8197, predictive_accuracy: 0.82, prior_entropy: 0.9924, recall: 0.82, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8381, kappa: 0.6723, kb_relative_information_score: 9801.4868, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8384, predictive_accuracy: 0.8385, prior_entropy: 0.9924, recall: 0.8385, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8311, kappa: 0.6583, kb_relative_information_score: 9488.2823, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8311, predictive_accuracy: 0.8313, prior_entropy: 0.9924, recall: 0.8313, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8313, kappa: 0.6586, kb_relative_information_score: 9425.1541, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8315, predictive_accuracy: 0.8317, prior_entropy: 0.9924, recall: 0.8317, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.826, kappa: 0.6477, kb_relative_information_score: 8900.1562, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8264, predictive_accuracy: 0.8265, prior_entropy: 0.9924, recall: 0.8265, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8185, kappa: 0.6326, kb_relative_information_score: 8625.9474, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8187, predictive_accuracy: 0.819, prior_entropy: 0.9924, recall: 0.819, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8814, kappa: 0.7598, kb_relative_information_score: 8049.3826, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8826, predictive_accuracy: 0.8819, prior_entropy: 0.9924, recall: 0.8819, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.93, kappa: 0.8584, kb_relative_information_score: 9805.6323, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9304, predictive_accuracy: 0.9302, prior_entropy: 0.9924, recall: 0.9302, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5201, usercpu_time_millis: 128.362, usercpu_time_millis_testing: 11.546, usercpu_time_millis_training: 116.816,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8401, kappa: 0.6763, kb_relative_information_score: 9983.4168, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8403, predictive_accuracy: 0.8405, prior_entropy: 0.9924, recall: 0.8405, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8367, kappa: 0.6696, kb_relative_information_score: 9678.0392, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8367, predictive_accuracy: 0.8369, prior_entropy: 0.9924, recall: 0.8369, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8204, kappa: 0.6365, kb_relative_information_score: 8814.1643, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8205, predictive_accuracy: 0.8208, prior_entropy: 0.9924, recall: 0.8208, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8358, kappa: 0.6676, kb_relative_information_score: 9643.5493, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8359, predictive_accuracy: 0.8361, prior_entropy: 0.9924, recall: 0.8361, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8334, kappa: 0.6629, kb_relative_information_score: 9542.7568, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8335, predictive_accuracy: 0.8337, prior_entropy: 0.9924, recall: 0.8337, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8175, kappa: 0.6306, kb_relative_information_score: 8619.198, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8177, predictive_accuracy: 0.818, prior_entropy: 0.9924, recall: 0.818, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8187, kappa: 0.6332, kb_relative_information_score: 8703.0147, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8186, predictive_accuracy: 0.8189, prior_entropy: 0.9924, recall: 0.8189, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7309,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8164, kappa: 0.6284, kb_relative_information_score: 8554.4922, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8165, predictive_accuracy: 0.8168, prior_entropy: 0.9924, recall: 0.8168, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8359, kappa: 0.668, kb_relative_information_score: 9700.0238, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.836, predictive_accuracy: 0.8362, prior_entropy: 0.9924, recall: 0.8362, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8125, kappa: 0.6203, kb_relative_information_score: 8482.6273, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8129, predictive_accuracy: 0.8131, prior_entropy: 0.9924, recall: 0.8131, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.828, kappa: 0.6518, kb_relative_information_score: 9153.2597, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8282, predictive_accuracy: 0.8284, prior_entropy: 0.9924, recall: 0.8284, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8397, kappa: 0.6756, kb_relative_information_score: 9827.8443, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.84, predictive_accuracy: 0.8401, prior_entropy: 0.9924, recall: 0.8401, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8288, kappa: 0.6535, kb_relative_information_score: 9324.2344, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.829, predictive_accuracy: 0.8292, prior_entropy: 0.9924, recall: 0.8292, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8283, kappa: 0.6528, kb_relative_information_score: 9374.891, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8283, predictive_accuracy: 0.8285, prior_entropy: 0.9924, recall: 0.8285, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8205, kappa: 0.6366, kb_relative_information_score: 8712.421, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8208, predictive_accuracy: 0.821, prior_entropy: 0.9924, recall: 0.821, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8181, kappa: 0.6317, kb_relative_information_score: 8628.5542, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9924, recall: 0.8185, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8175, kappa: 0.6306, kb_relative_information_score: 8618.3972, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8177, predictive_accuracy: 0.818, prior_entropy: 0.9924, recall: 0.818, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8139, kappa: 0.6231, kb_relative_information_score: 8498.6359, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8142, predictive_accuracy: 0.8144, prior_entropy: 0.9924, recall: 0.8144, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8301, kappa: 0.6561, kb_relative_information_score: 9288.7767, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9924, recall: 0.8304, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.727,

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

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From your own software

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

OpenML APIs