OpenML
Supervised Classification on segment

Supervised Classification on segment

Task 36 Supervised Classification segment 12978 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 under100k under1m
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12978 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.4156, kappa: 0.3444, kb_relative_information_score: 909.1753, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4546, predictive_accuracy: 0.4381, prior_entropy: 2.8074, recall: 0.4381, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4007, root_relative_squared_error: 1.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8575, kappa: 0.8354, kb_relative_information_score: 1958.175, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8594, predictive_accuracy: 0.8589, prior_entropy: 2.8074, recall: 0.8589, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.5738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.923, kappa: 0.9096, kb_relative_information_score: 2116.82, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9288, predictive_accuracy: 0.9225, prior_entropy: 2.8074, recall: 0.9225, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.4252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9412, kappa: 0.9288, kb_relative_information_score: 2157.8303, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9502, predictive_accuracy: 0.939, prior_entropy: 2.8074, recall: 0.939, relative_absolute_error: 0.0712, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.3774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4172, kappa: -0.1657, kb_relative_information_score: -180.8346, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.0009, prior_entropy: 2.8074, recall: 0.0009, relative_absolute_error: 1.1657, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5343, root_relative_squared_error: 1.5269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9595, kappa: 0.953, kb_relative_information_score: 2209.6327, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9597, predictive_accuracy: 0.9597, prior_entropy: 2.8074, recall: 0.9597, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.3065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.6877, kappa: 0.6793, kb_relative_information_score: 1624.6967, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8393, predictive_accuracy: 0.7251, prior_entropy: 2.8074, recall: 0.7251, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9204, kappa: 0.9076, kb_relative_information_score: 2112.5031, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9251, predictive_accuracy: 0.9208, prior_entropy: 2.8074, recall: 0.9208, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9402, kappa: 0.9303, kb_relative_information_score: 2161.0679, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9403, predictive_accuracy: 0.9403, prior_entropy: 2.8074, recall: 0.9403, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8759, kappa: 0.852, kb_relative_information_score: 1993.7892, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8814, predictive_accuracy: 0.8732, prior_entropy: 2.8074, recall: 0.8732, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.96, kappa: 0.953, kb_relative_information_score: 2209.6327, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9604, predictive_accuracy: 0.9597, prior_entropy: 2.8074, recall: 0.9597, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.3065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.4213, kappa: 0.3384, kb_relative_information_score: 896.2247, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.461, predictive_accuracy: 0.4329, prior_entropy: 2.8074, recall: 0.4329, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.1503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9662, kappa: 0.9606, kb_relative_information_score: 2225.821, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9663, predictive_accuracy: 0.9662, prior_entropy: 2.8074, recall: 0.9662, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.2807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9675, kappa: 0.9621, kb_relative_information_score: 2229.0587, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 2.8074, recall: 0.9675, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.2752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4172, kappa: -0.1657, kb_relative_information_score: -180.8346, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.0009, prior_entropy: 2.8074, recall: 0.0009, relative_absolute_error: 1.1657, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5343, root_relative_squared_error: 1.5269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9366, kappa: 0.9263, kb_relative_information_score: 2152.4342, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9367, predictive_accuracy: 0.9368, prior_entropy: 2.8074, recall: 0.9368, relative_absolute_error: 0.0737, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.7681, kappa: 0.7389, kb_relative_information_score: 1752.0444, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7864, predictive_accuracy: 0.7762, prior_entropy: 2.8074, recall: 0.7762, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.7226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9591, kappa: 0.9525, kb_relative_information_score: 2208.5535, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9591, predictive_accuracy: 0.9593, prior_entropy: 2.8074, recall: 0.9593, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.3081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9655, kappa: 0.9596, kb_relative_information_score: 2223.6626, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9657, predictive_accuracy: 0.9654, prior_entropy: 2.8074, recall: 0.9654, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.2843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.727, kappa: 0.7121, kb_relative_information_score: 1694.8459, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8465, predictive_accuracy: 0.7532, prior_entropy: 2.8074, recall: 0.7532, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.7822, kappa: 0.7505, kb_relative_information_score: 1776.8664, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8232, predictive_accuracy: 0.7861, prior_entropy: 2.8074, recall: 0.7861, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.7064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9612, kappa: 0.9545, kb_relative_information_score: 2212.8704, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9617, predictive_accuracy: 0.961, prior_entropy: 2.8074, recall: 0.961, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.3015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8542, kappa: 0.8232, kb_relative_information_score: 1932.2738, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8643, predictive_accuracy: 0.8485, prior_entropy: 2.8074, recall: 0.8485, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.5946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9612, kappa: 0.9545, kb_relative_information_score: 2212.8704, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9616, predictive_accuracy: 0.961, prior_entropy: 2.8074, recall: 0.961, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.3015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.3295, kappa: 0.198, kb_relative_information_score: 596.2022, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.3873, predictive_accuracy: 0.3126, prior_entropy: 2.8074, recall: 0.3126, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4432, root_relative_squared_error: 1.2665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8107, kappa: 0.7631, kb_relative_information_score: 1803.8469, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8651, predictive_accuracy: 0.797, prior_entropy: 2.8074, recall: 0.797, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.6883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9237, kappa: 0.9116, kb_relative_information_score: 2121.1369, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9245, predictive_accuracy: 0.9242, prior_entropy: 2.8074, recall: 0.9242, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9445, kappa: 0.9348, kb_relative_information_score: 2170.7809, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9451, predictive_accuracy: 0.9442, prior_entropy: 2.8074, recall: 0.9442, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.3825, kappa: 0.2894, kb_relative_information_score: 791.5406, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4293, predictive_accuracy: 0.3909, prior_entropy: 2.8074, recall: 0.3909, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4172, root_relative_squared_error: 1.1921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.6882, kappa: 0.6798, kb_relative_information_score: 1625.7759, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8399, predictive_accuracy: 0.7255, prior_entropy: 2.8074, recall: 0.7255, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.28, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9216, kappa: 0.9091, kb_relative_information_score: 2115.7408, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9226, predictive_accuracy: 0.9221, prior_entropy: 2.8074, recall: 0.9221, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9147, kappa: 0.901, kb_relative_information_score: 2098.4733, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9154, predictive_accuracy: 0.9152, prior_entropy: 2.8074, recall: 0.9152, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.4449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.845, kappa: 0.8197, kb_relative_information_score: 1924.7193, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8475, predictive_accuracy: 0.8455, prior_entropy: 2.8074, recall: 0.8455, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9688, kappa: 0.9636, kb_relative_information_score: 2232.2963, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9688, predictive_accuracy: 0.9688, prior_entropy: 2.8074, recall: 0.9688, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.2697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.4212, kappa: 0.3424, kb_relative_information_score: 904.8585, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4605, predictive_accuracy: 0.4364, prior_entropy: 2.8074, recall: 0.4364, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4013, root_relative_squared_error: 1.1468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.4285, kappa: 0.3222, kb_relative_information_score: 861.6897, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4754, predictive_accuracy: 0.419, prior_entropy: 2.8074, recall: 0.419, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4074, root_relative_squared_error: 1.1643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.4137, kappa: 0.3364, kb_relative_information_score: 891.9078, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4525, predictive_accuracy: 0.4312, prior_entropy: 2.8074, recall: 0.4312, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4031, root_relative_squared_error: 1.1521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.967, kappa: 0.9616, kb_relative_information_score: 2227.9794, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9673, predictive_accuracy: 0.9671, prior_entropy: 2.8074, recall: 0.9671, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.097, root_relative_squared_error: 0.2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9684, kappa: 0.9631, kb_relative_information_score: 2231.2171, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 2.8074, recall: 0.9684, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.095, root_relative_squared_error: 0.2715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9688, kappa: 0.9636, kb_relative_information_score: 2232.2963, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9689, predictive_accuracy: 0.9688, prior_entropy: 2.8074, recall: 0.9688, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.2697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, kappa: -0.1667, kb_relative_information_score: -182.9931, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, prior_entropy: 2.8074, relative_absolute_error: 1.1667, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.5275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7272, kappa: 0.7121, kb_relative_information_score: 1694.8459, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8371, predictive_accuracy: 0.7532, prior_entropy: 2.8074, recall: 0.7532, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9226, kappa: 0.9091, kb_relative_information_score: 2115.7408, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9233, predictive_accuracy: 0.9221, prior_entropy: 2.8074, recall: 0.9221, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4189, kappa: -0.1621, kb_relative_information_score: -173.2801, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.0039, prior_entropy: 2.8074, recall: 0.0039, relative_absolute_error: 1.1621, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.5245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.404, kappa: 0.3823, kb_relative_information_score: 990.1167, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.5201, predictive_accuracy: 0.4706, prior_entropy: 2.8074, recall: 0.4706, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3889, root_relative_squared_error: 1.1115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9671, kappa: 0.9616, kb_relative_information_score: 2227.9794, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9676, predictive_accuracy: 0.9671, prior_entropy: 2.8074, recall: 0.9671, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.097, root_relative_squared_error: 0.2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9694, kappa: 0.9641, kb_relative_information_score: 2233.3755, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9696, predictive_accuracy: 0.9693, prior_entropy: 2.8074, recall: 0.9693, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.2678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9575, kappa: 0.95, kb_relative_information_score: 2203.1574, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9583, predictive_accuracy: 0.9571, prior_entropy: 2.8074, recall: 0.9571, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.382, kappa: 0.2869, kb_relative_information_score: 786.1445, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4213, predictive_accuracy: 0.3887, prior_entropy: 2.8074, recall: 0.3887, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4179, root_relative_squared_error: 1.1943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4712, f_measure: 0.0708, kappa: -0.0576, kb_relative_information_score: 50.118, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.0718, predictive_accuracy: 0.0935, prior_entropy: 2.8074, recall: 0.0935, relative_absolute_error: 1.0576, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.4544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9553, kappa: 0.9475, kb_relative_information_score: 2197.7614, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.956, predictive_accuracy: 0.955, prior_entropy: 2.8074, recall: 0.955, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8933, kappa: 0.8763, kb_relative_information_score: 2045.5916, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8939, predictive_accuracy: 0.8939, prior_entropy: 2.8074, recall: 0.8939, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.4975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9444, kappa: 0.9354, kb_relative_information_score: 2171.8601, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9447, predictive_accuracy: 0.9446, prior_entropy: 2.8074, recall: 0.9446, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.3596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.9001, kappa: 0.8808, kb_relative_information_score: 2055.3046, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.904, predictive_accuracy: 0.8978, prior_entropy: 2.8074, recall: 0.8978, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.4882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8534, kappa: 0.8313, kb_relative_information_score: 1949.5413, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8562, predictive_accuracy: 0.8554, prior_entropy: 2.8074, recall: 0.8554, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9196, kappa: 0.9005, kb_relative_information_score: 2097.3941, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.938, predictive_accuracy: 0.9147, prior_entropy: 2.8074, recall: 0.9147, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.4461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.6728, kappa: 0.6586, kb_relative_information_score: 1580.4488, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8285, predictive_accuracy: 0.7074, prior_entropy: 2.8074, recall: 0.7074, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.8263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8285, kappa: 0.7939, kb_relative_information_score: 1869.6791, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.839, predictive_accuracy: 0.8234, prior_entropy: 2.8074, recall: 0.8234, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9718, kappa: 0.9672, kb_relative_information_score: 2239.8508, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 2.8074, recall: 0.9719, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.2562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9428, kappa: 0.9328, kb_relative_information_score: 2166.464, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9438, predictive_accuracy: 0.9424, prior_entropy: 2.8074, recall: 0.9424, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9604, kappa: 0.9535, kb_relative_information_score: 2210.712, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9609, predictive_accuracy: 0.9602, prior_entropy: 2.8074, recall: 0.9602, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.3048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7311, kappa: 0.7172, kb_relative_information_score: 1705.638, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.831, predictive_accuracy: 0.7576, prior_entropy: 2.8074, recall: 0.7576, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.7521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9133, kappa: 0.8995, kb_relative_information_score: 2095.2357, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9139, predictive_accuracy: 0.9139, prior_entropy: 2.8074, recall: 0.9139, relative_absolute_error: 0.1005, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9241, kappa: 0.9086, kb_relative_information_score: 2114.6616, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9337, predictive_accuracy: 0.9216, prior_entropy: 2.8074, recall: 0.9216, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8279, kappa: 0.7975, kb_relative_information_score: 1877.2337, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.835, predictive_accuracy: 0.8264, prior_entropy: 2.8074, recall: 0.8264, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.6364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8888, kappa: 0.8677, kb_relative_information_score: 2027.2449, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9033, predictive_accuracy: 0.8866, prior_entropy: 2.8074, recall: 0.8866, relative_absolute_error: 0.1323, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.18, root_relative_squared_error: 0.5144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9586, kappa: 0.951, kb_relative_information_score: 2205.3159, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.961, predictive_accuracy: 0.958, prior_entropy: 2.8074, recall: 0.958, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8879, kappa: 0.8702, kb_relative_information_score: 2032.641, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8883, predictive_accuracy: 0.8887, prior_entropy: 2.8074, recall: 0.8887, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4172, kappa: -0.1657, kb_relative_information_score: -180.8346, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.0009, prior_entropy: 2.8074, recall: 0.0009, relative_absolute_error: 1.1657, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5343, root_relative_squared_error: 1.5269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.3911, kappa: 0.303, kb_relative_information_score: 820.6795, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4432, predictive_accuracy: 0.4026, prior_entropy: 2.8074, recall: 0.4026, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.5916, kappa: 0.4702, kb_relative_information_score: 1177.9005, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8724, predictive_accuracy: 0.5459, prior_entropy: 2.8074, recall: 0.5459, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3602, root_relative_squared_error: 1.0294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9701, kappa: 0.9652, kb_relative_information_score: 2235.534, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 2.8074, recall: 0.9701, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.4074, kappa: 0.3278, kb_relative_information_score: 873.5611, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.433, predictive_accuracy: 0.4238, prior_entropy: 2.8074, recall: 0.4238, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.1595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9137, kappa: 0.9, kb_relative_information_score: 2096.3149, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9145, predictive_accuracy: 0.9143, prior_entropy: 2.8074, recall: 0.9143, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.4163, kappa: 0.3429, kb_relative_information_score: 905.9377, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4557, predictive_accuracy: 0.4368, prior_entropy: 2.8074, recall: 0.4368, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4011, root_relative_squared_error: 1.1464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8876, kappa: 0.8697, kb_relative_information_score: 2031.5618, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8881, predictive_accuracy: 0.8883, prior_entropy: 2.8074, recall: 0.8883, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.4078, kappa: 0.3333, kb_relative_information_score: 885.4325, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4445, predictive_accuracy: 0.4286, prior_entropy: 2.8074, recall: 0.4286, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.1547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.4504, kappa: 0.3722, kb_relative_information_score: 968.5323, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4758, predictive_accuracy: 0.4619, prior_entropy: 2.8074, recall: 0.4619, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3921, root_relative_squared_error: 1.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8835, kappa: 0.8652, kb_relative_information_score: 2021.8489, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8839, predictive_accuracy: 0.8844, prior_entropy: 2.8074, recall: 0.8844, relative_absolute_error: 0.1348, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.5193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, kappa: -0.1667, kb_relative_information_score: -182.9931, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, prior_entropy: 2.8074, relative_absolute_error: 1.1667, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.5275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9723, kappa: 0.9677, kb_relative_information_score: 2240.9301, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 2.8074, recall: 0.9723, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.089, root_relative_squared_error: 0.2543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9628, kappa: 0.9566, kb_relative_information_score: 2217.1873, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9631, predictive_accuracy: 0.9628, prior_entropy: 2.8074, recall: 0.9628, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.2947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4187, kappa: -0.1626, kb_relative_information_score: -174.3593, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.0035, prior_entropy: 2.8074, recall: 0.0035, relative_absolute_error: 1.1626, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.5249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9238, kappa: 0.9116, kb_relative_information_score: 2121.1369, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9245, predictive_accuracy: 0.9242, prior_entropy: 2.8074, recall: 0.9242, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.6997, kappa: 0.6904, kb_relative_information_score: 1648.4395, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8425, predictive_accuracy: 0.7346, prior_entropy: 2.8074, recall: 0.7346, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.7869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.9001, kappa: 0.8828, kb_relative_information_score: 2059.6215, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9012, predictive_accuracy: 0.8996, prior_entropy: 2.8074, recall: 0.8996, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.4841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9645, kappa: 0.9586, kb_relative_information_score: 2221.5041, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9652, predictive_accuracy: 0.9645, prior_entropy: 2.8074, recall: 0.9645, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8529, kappa: 0.8303, kb_relative_information_score: 1947.3828, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8547, predictive_accuracy: 0.8545, prior_entropy: 2.8074, recall: 0.8545, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.958, kappa: 0.951, kb_relative_information_score: 2205.3159, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9584, predictive_accuracy: 0.958, prior_entropy: 2.8074, recall: 0.958, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.5707, kappa: 0.5116, kb_relative_information_score: 1266.3964, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.6034, predictive_accuracy: 0.5814, prior_entropy: 2.8074, recall: 0.5814, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9732, kappa: 0.9687, kb_relative_information_score: 2243.0885, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9734, predictive_accuracy: 0.9732, prior_entropy: 2.8074, recall: 0.9732, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.2503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.6954, kappa: 0.6869, kb_relative_information_score: 1640.885, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8454, predictive_accuracy: 0.7316, prior_entropy: 2.8074, recall: 0.7316, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7375, kappa: 0.6909, kb_relative_information_score: 1649.5187, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7422, predictive_accuracy: 0.7351, prior_entropy: 2.8074, recall: 0.7351, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.7862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.6515, kappa: 0.651, kb_relative_information_score: 1564.2605, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8089, predictive_accuracy: 0.7009, prior_entropy: 2.8074, recall: 0.7009, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.6887, kappa: 0.6803, kb_relative_information_score: 1626.8551, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8401, predictive_accuracy: 0.726, prior_entropy: 2.8074, recall: 0.726, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9693, kappa: 0.9641, kb_relative_information_score: 2233.3755, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9694, predictive_accuracy: 0.9693, prior_entropy: 2.8074, recall: 0.9693, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.2678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.6879, kappa: 0.6793, kb_relative_information_score: 1624.6967, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8385, predictive_accuracy: 0.7251, prior_entropy: 2.8074, recall: 0.7251, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7709, kappa: 0.7227, kb_relative_information_score: 1717.5094, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.79, predictive_accuracy: 0.7623, prior_entropy: 2.8074, recall: 0.7623, relative_absolute_error: 0.2773, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.6817, kappa: 0.6727, kb_relative_information_score: 1610.6669, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8175, predictive_accuracy: 0.7195, prior_entropy: 2.8074, recall: 0.7195, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9564, kappa: 0.9495, kb_relative_information_score: 2202.0782, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 2.8074, recall: 0.9567, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.3178,

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