Task
Supervised Classification on SpeedDating

Supervised Classification on SpeedDating

Task 146607 Supervised Classification SpeedDating 20128 runs submitted
1 likes downloaded by 2 people , 3 total downloads 0 issues
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20128 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 72.9482, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -437.0866, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0143, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.813, kappa: 0.2353, kb_relative_information_score: 1342.5576, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8242, predictive_accuracy: 0.8492, prior_entropy: 0.6457, recall: 0.8492, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 3.3656, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -271.7054, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -55.8833, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, kb_relative_information_score: -493.8574, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.8335, kappa: 0.3273, kb_relative_information_score: 1264.3811, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8422, predictive_accuracy: 0.8601, prior_entropy: 0.6457, recall: 0.8601, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -417.1783, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0136, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -22.6902, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -69.8794, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 44.8047, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 10.8176, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -57.9683, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -28.6785, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 80.6368, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7853, kappa: 0.1077, kb_relative_information_score: 635.3551, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8244, predictive_accuracy: 0.8428, prior_entropy: 0.6457, recall: 0.8428, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.8943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.835, kappa: 0.3472, kb_relative_information_score: 1216.7368, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.833, predictive_accuracy: 0.8539, prior_entropy: 0.6457, recall: 0.8539, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.8689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 25.1226, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.8272, kappa: 0.3114, kb_relative_information_score: 933.3519, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8255, predictive_accuracy: 0.8495, prior_entropy: 0.6457, recall: 0.8495, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 37.8802, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -203.2554, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7967, kappa: 0.1594, kb_relative_information_score: 712.7788, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8182, predictive_accuracy: 0.8446, prior_entropy: 0.6457, recall: 0.8446, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 76.9378, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 17.5933, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 59.4414, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.8153, kappa: 0.245, kb_relative_information_score: 822.7467, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8277, predictive_accuracy: 0.8509, prior_entropy: 0.6457, recall: 0.8509, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -367.0532, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5524, f_measure: 0.714, kappa: 0.0932, kb_relative_information_score: -3350.6195, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7531, predictive_accuracy: 0.6867, prior_entropy: 0.6457, recall: 0.6867, relative_absolute_error: 1.1416, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.4865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 28.7912, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 49.085, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -4.761, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 40.4757, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -280.5845, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -853.2986, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0275, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3712, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8125, kappa: 0.2716, kb_relative_information_score: 661.9102, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8044, predictive_accuracy: 0.8281, prior_entropy: 0.6457, recall: 0.8281, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.349, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 124.9866, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -12.4207, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, kb_relative_information_score: 299.9804, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.674, kappa: 0.0827, kb_relative_information_score: -5361.0319, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7542, predictive_accuracy: 0.63, prior_entropy: 0.6457, recall: 0.63, relative_absolute_error: 1.3444, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -988.9493, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0329, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3712, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8312, kappa: 0.3222, kb_relative_information_score: 1182.9931, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8345, predictive_accuracy: 0.8558, prior_entropy: 0.6457, recall: 0.8558, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 220.933, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3712, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8313, kappa: 0.3615, kb_relative_information_score: 1488.0155, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8262, predictive_accuracy: 0.839, prior_entropy: 0.6457, recall: 0.839, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.847, kappa: 0.4058, kb_relative_information_score: 1723.8235, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8438, predictive_accuracy: 0.8598, prior_entropy: 0.6457, recall: 0.8598, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8308, kappa: 0.3398, kb_relative_information_score: 1368.4087, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8256, predictive_accuracy: 0.846, prior_entropy: 0.6457, recall: 0.846, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -119.7844, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 549.1598, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.909, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22633.6994, mean_absolute_error: 0.8353, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.1647, prior_entropy: 0.6457, recall: 0.1647, relative_absolute_error: 3.0349, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.9139, root_relative_squared_error: 2.4639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22633.6994, mean_absolute_error: 0.8353, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.1647, prior_entropy: 0.6457, recall: 0.1647, relative_absolute_error: 3.0349, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.9139, root_relative_squared_error: 2.4639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 76.7531, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.814, kappa: 0.2398, kb_relative_information_score: 600.7146, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8254, predictive_accuracy: 0.8498, prior_entropy: 0.6457, recall: 0.8498, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 65.7462, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8335, kappa: 0.3327, kb_relative_information_score: 1265.7947, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8366, predictive_accuracy: 0.8571, prior_entropy: 0.6457, recall: 0.8571, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.8641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -521.2165, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -81.03, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.8297, kappa: 0.3206, kb_relative_information_score: 1139.0169, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8291, predictive_accuracy: 0.852, prior_entropy: 0.6457, recall: 0.852, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -243.7846, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 100.4638, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -463.6092, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3712, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7656, kappa: 0.0225, kb_relative_information_score: 522.0792, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.826, predictive_accuracy: 0.837, prior_entropy: 0.6457, recall: 0.837, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.9023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 56.9335, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -135.0673, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -17.0039, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -225.2252, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6585, kb_relative_information_score: -554.8081, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.5936, kappa: 0.0618, kb_relative_information_score: -9110.6375, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7553, predictive_accuracy: 0.5344, prior_entropy: 0.6457, recall: 0.5344, relative_absolute_error: 1.7094, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6773, root_relative_squared_error: 1.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -102.5034, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -528.9034, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -207.1876, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22633.6994, mean_absolute_error: 0.8353, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.1647, prior_entropy: 0.6457, recall: 0.1647, relative_absolute_error: 3.0349, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.9139, root_relative_squared_error: 2.4639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 28.2564, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, kb_relative_information_score: -144.5569, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -639.1813, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.845, kappa: 0.3913, kb_relative_information_score: 1557.8698, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8433, predictive_accuracy: 0.8607, prior_entropy: 0.6457, recall: 0.8607, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -420.8584, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0137, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.6161, kappa: 0.017, kb_relative_information_score: -7975.4172, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7318, predictive_accuracy: 0.5596, prior_entropy: 0.6457, recall: 0.5596, relative_absolute_error: 1.6003, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6637, root_relative_squared_error: 1.7892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 41.1658, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.8192, kappa: 0.2706, kb_relative_information_score: 917.5018, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8207, predictive_accuracy: 0.8476, prior_entropy: 0.6457, recall: 0.8476, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -98.0582, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8449, kappa: 0.3852, kb_relative_information_score: 1651.4429, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8459, predictive_accuracy: 0.8632, prior_entropy: 0.6457, recall: 0.8632, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.313, root_relative_squared_error: 0.8439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -57.7813, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 63.5676, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, kb_relative_information_score: -540.2331, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, kb_relative_information_score: 78.4137, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.6543, kappa: 0.0534, kb_relative_information_score: -6256.1265, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7446, predictive_accuracy: 0.6059, prior_entropy: 0.6457, recall: 0.6059, relative_absolute_error: 1.432, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.6278, root_relative_squared_error: 1.6925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8483, kappa: 0.424, kb_relative_information_score: 1915.8504, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8442, predictive_accuracy: 0.8559, prior_entropy: 0.6457, recall: 0.8559, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4812, kappa: -0.0051, kb_relative_information_score: -13133.2892, mean_absolute_error: 0.5794, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.7213, predictive_accuracy: 0.4206, prior_entropy: 0.6457, recall: 0.4206, relative_absolute_error: 2.1051, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.7612, root_relative_squared_error: 2.0521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -692.8684, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0228, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 191.0799, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3711, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 11.546, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 398.3513, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3719, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -107.9615, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, kb_relative_information_score: -113.1975, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -53.6977, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.8447, kappa: 0.3918, kb_relative_information_score: 1642.7754, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8424, predictive_accuracy: 0.8598, prior_entropy: 0.6457, recall: 0.8598, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -163.0592, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -725.0889, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0239, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3711, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -789.7155, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 1.0261, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3711, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -59.8046, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, predictive_accuracy: 0.8353, prior_entropy: 0.6457, recall: 0.8353, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3709, root_relative_squared_error: 1,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs