Task
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 19004 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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19004 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.7716, kappa: 0.223, kb_relative_information_score: 233.7299, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7621, predictive_accuracy: 0.7896, prior_entropy: 0.7088, recall: 0.7896, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, f_measure: 0.7608, kappa: 0.2099, kb_relative_information_score: 311.3246, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7542, predictive_accuracy: 0.7689, prior_entropy: 0.7088, recall: 0.7689, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4473, root_relative_squared_error: 1.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.7713, kappa: 0.2151, kb_relative_information_score: 193.9755, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7616, predictive_accuracy: 0.7928, prior_entropy: 0.7088, recall: 0.7928, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3969, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.761, kappa: 0.2147, kb_relative_information_score: 327.899, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7555, predictive_accuracy: 0.7676, prior_entropy: 0.7088, recall: 0.7676, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.1951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.7693, kappa: 0.2227, kb_relative_information_score: 272.0694, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7603, predictive_accuracy: 0.7836, prior_entropy: 0.7088, recall: 0.7836, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4124, root_relative_squared_error: 1.0441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.773, kappa: 0.2306, kb_relative_information_score: 277.7042, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7639, predictive_accuracy: 0.7894, prior_entropy: 0.7088, recall: 0.7894, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4026, root_relative_squared_error: 1.0193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.771, kappa: 0.2117, kb_relative_information_score: 147.9007, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7614, predictive_accuracy: 0.794, prior_entropy: 0.7088, recall: 0.794, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.7729, kappa: 0.2167, kb_relative_information_score: 189.1263, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7638, predictive_accuracy: 0.7967, prior_entropy: 0.7088, recall: 0.7967, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.7625, kappa: 0.215, kb_relative_information_score: 201.2013, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7559, predictive_accuracy: 0.7708, prior_entropy: 0.7088, recall: 0.7708, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4357, root_relative_squared_error: 1.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.7541, kappa: 0.2014, kb_relative_information_score: 126.4482, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7509, predictive_accuracy: 0.7576, prior_entropy: 0.7088, recall: 0.7576, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.455, root_relative_squared_error: 1.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7717, kappa: 0.2143, kb_relative_information_score: 186.2369, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7622, predictive_accuracy: 0.7945, prior_entropy: 0.7088, recall: 0.7945, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, f_measure: 0.7642, kappa: 0.2094, kb_relative_information_score: 115.8487, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7553, predictive_accuracy: 0.7771, prior_entropy: 0.7088, recall: 0.7771, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.0529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7702, kappa: 0.224, kb_relative_information_score: 244.6388, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.761, predictive_accuracy: 0.7853, prior_entropy: 0.7088, recall: 0.7853, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.7626, kappa: 0.2147, kb_relative_information_score: 264.6027, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7558, predictive_accuracy: 0.7712, prior_entropy: 0.7088, recall: 0.7712, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4324, root_relative_squared_error: 1.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.7714, kappa: 0.2154, kb_relative_information_score: 186.2994, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7617, predictive_accuracy: 0.793, prior_entropy: 0.7088, recall: 0.793, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3972, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7728, kappa: 0.2152, kb_relative_information_score: 192.3266, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7638, predictive_accuracy: 0.7972, prior_entropy: 0.7088, recall: 0.7972, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.7711, kappa: 0.2109, kb_relative_information_score: 183.2428, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7615, predictive_accuracy: 0.7947, prior_entropy: 0.7088, recall: 0.7947, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.396, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.7608, kappa: 0.2117, kb_relative_information_score: 233.826, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7547, predictive_accuracy: 0.7684, prior_entropy: 0.7088, recall: 0.7684, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4319, root_relative_squared_error: 1.0933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.7685, kappa: 0.2144, kb_relative_information_score: 239.5052, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7587, predictive_accuracy: 0.7857, prior_entropy: 0.7088, recall: 0.7857, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.0294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7743, kappa: 0.2313, kb_relative_information_score: 245.0708, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7651, predictive_accuracy: 0.7926, prior_entropy: 0.7088, recall: 0.7926, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3974, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6623, f_measure: 0.7673, kappa: 0.2184, kb_relative_information_score: 192.4983, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7584, predictive_accuracy: 0.7808, prior_entropy: 0.7088, recall: 0.7808, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.7597, kappa: 0.208, kb_relative_information_score: 307.7649, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7535, predictive_accuracy: 0.7672, prior_entropy: 0.7088, recall: 0.7672, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.448, root_relative_squared_error: 1.1341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.7587, kappa: 0.2183, kb_relative_information_score: 377.3736, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7561, predictive_accuracy: 0.7615, prior_entropy: 0.7088, recall: 0.7615, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4609, root_relative_squared_error: 1.1667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7683, kappa: 0.1955, kb_relative_information_score: 190.364, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7589, predictive_accuracy: 0.7959, prior_entropy: 0.7088, recall: 0.7959, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.7732, kappa: 0.2143, kb_relative_information_score: 205.8061, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7647, predictive_accuracy: 0.7991, prior_entropy: 0.7088, recall: 0.7991, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.7714, kappa: 0.2275, kb_relative_information_score: 276.5746, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7623, predictive_accuracy: 0.7867, prior_entropy: 0.7088, recall: 0.7867, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4081, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.7584, kappa: 0.2136, kb_relative_information_score: 299.2771, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7548, predictive_accuracy: 0.7625, prior_entropy: 0.7088, recall: 0.7625, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.1572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.7704, kappa: 0.2123, kb_relative_information_score: 164.297, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7605, predictive_accuracy: 0.7919, prior_entropy: 0.7088, recall: 0.7919, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3975, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6299, f_measure: 0.7609, kappa: 0.2153, kb_relative_information_score: 280.791, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7556, predictive_accuracy: 0.7672, prior_entropy: 0.7088, recall: 0.7672, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4422, root_relative_squared_error: 1.1194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.77, kappa: 0.2261, kb_relative_information_score: 286.0948, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7612, predictive_accuracy: 0.7839, prior_entropy: 0.7088, recall: 0.7839, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.412, root_relative_squared_error: 1.0431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.7615, kappa: 0.2127, kb_relative_information_score: 323.374, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7551, predictive_accuracy: 0.7695, prior_entropy: 0.7088, recall: 0.7695, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4466, root_relative_squared_error: 1.1306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.7737, kappa: 0.2198, kb_relative_information_score: 200.5011, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7647, predictive_accuracy: 0.7971, prior_entropy: 0.7088, recall: 0.7971, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.7555, kappa: 0.2033, kb_relative_information_score: 183.8286, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7516, predictive_accuracy: 0.7599, prior_entropy: 0.7088, recall: 0.7599, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4485, root_relative_squared_error: 1.1354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, f_measure: 0.7691, kappa: 0.2166, kb_relative_information_score: 232.3731, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7594, predictive_accuracy: 0.7861, prior_entropy: 0.7088, recall: 0.7861, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.7646, kappa: 0.2118, kb_relative_information_score: 91.1659, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.756, predictive_accuracy: 0.7772, prior_entropy: 0.7088, recall: 0.7772, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4171, root_relative_squared_error: 1.0559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.7711, kappa: 0.2217, kb_relative_information_score: 241.3656, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7615, predictive_accuracy: 0.7888, prior_entropy: 0.7088, recall: 0.7888, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.0142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.7687, kappa: 0.2151, kb_relative_information_score: 232.8726, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.759, predictive_accuracy: 0.7859, prior_entropy: 0.7088, recall: 0.7859, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.775, kappa: 0.2289, kb_relative_information_score: 232.156, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7659, predictive_accuracy: 0.7958, prior_entropy: 0.7088, recall: 0.7958, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7733, kappa: 0.215, kb_relative_information_score: 204.6103, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7649, predictive_accuracy: 0.7991, prior_entropy: 0.7088, recall: 0.7991, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7724, kappa: 0.218, kb_relative_information_score: 174.7218, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.763, predictive_accuracy: 0.7945, prior_entropy: 0.7088, recall: 0.7945, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.7713, kappa: 0.2121, kb_relative_information_score: 175.2301, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7617, predictive_accuracy: 0.7946, prior_entropy: 0.7088, recall: 0.7946, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.396, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.7726, kappa: 0.2131, kb_relative_information_score: 200.9358, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7638, predictive_accuracy: 0.798, prior_entropy: 0.7088, recall: 0.798, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.7615, kappa: 0.2009, kb_relative_information_score: 113.0851, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7525, predictive_accuracy: 0.7744, prior_entropy: 0.7088, recall: 0.7744, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4172, root_relative_squared_error: 1.0562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.7716, kappa: 0.2295, kb_relative_information_score: 295.8844, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7626, predictive_accuracy: 0.7862, prior_entropy: 0.7088, recall: 0.7862, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4096, root_relative_squared_error: 1.0369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.765, kappa: 0.2148, kb_relative_information_score: 204.1238, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7567, predictive_accuracy: 0.7767, prior_entropy: 0.7088, recall: 0.7767, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4165, root_relative_squared_error: 1.0545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.7706, kappa: 0.2077, kb_relative_information_score: 196.0507, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7611, predictive_accuracy: 0.7951, prior_entropy: 0.7088, recall: 0.7951, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.7584, kappa: 0.2043, kb_relative_information_score: 195.6637, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7523, predictive_accuracy: 0.7659, prior_entropy: 0.7088, recall: 0.7659, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4363, root_relative_squared_error: 1.1044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.7701, kappa: 0.2186, kb_relative_information_score: 136.3066, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7604, predictive_accuracy: 0.7877, prior_entropy: 0.7088, recall: 0.7877, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7685, kappa: 0.195, kb_relative_information_score: 189.9722, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7596, predictive_accuracy: 0.7971, prior_entropy: 0.7088, recall: 0.7971, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.7633, kappa: 0.2104, kb_relative_information_score: 190.032, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7551, predictive_accuracy: 0.7746, prior_entropy: 0.7088, recall: 0.7746, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.7623, kappa: 0.2135, kb_relative_information_score: 273.9638, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7555, predictive_accuracy: 0.771, prior_entropy: 0.7088, recall: 0.771, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4417, root_relative_squared_error: 1.1181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.7616, kappa: 0.2137, kb_relative_information_score: 230.7559, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7554, predictive_accuracy: 0.7694, prior_entropy: 0.7088, recall: 0.7694, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4423, root_relative_squared_error: 1.1196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.774, kappa: 0.2249, kb_relative_information_score: 210.0127, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7647, predictive_accuracy: 0.7949, prior_entropy: 0.7088, recall: 0.7949, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.7701, kappa: 0.2066, kb_relative_information_score: 217.6428, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7604, predictive_accuracy: 0.7944, prior_entropy: 0.7088, recall: 0.7944, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7712, kappa: 0.2222, kb_relative_information_score: 235.0929, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7617, predictive_accuracy: 0.7889, prior_entropy: 0.7088, recall: 0.7889, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4007, root_relative_squared_error: 1.0143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.7715, kappa: 0.2161, kb_relative_information_score: 188.5654, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7618, predictive_accuracy: 0.7928, prior_entropy: 0.7088, recall: 0.7928, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3971, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.7707, kappa: 0.2195, kb_relative_information_score: 241.7949, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.761, predictive_accuracy: 0.789, prior_entropy: 0.7088, recall: 0.789, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.7697, kappa: 0.218, kb_relative_information_score: 268.5333, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.76, predictive_accuracy: 0.787, prior_entropy: 0.7088, recall: 0.787, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4061, root_relative_squared_error: 1.0282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.7688, kappa: 0.2077, kb_relative_information_score: 96.9164, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7587, predictive_accuracy: 0.7901, prior_entropy: 0.7088, recall: 0.7901, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3997, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7687, kappa: 0.1957, kb_relative_information_score: 190.8076, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7597, predictive_accuracy: 0.7971, prior_entropy: 0.7088, recall: 0.7971, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.7668, kappa: 0.2228, kb_relative_information_score: 255.6659, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.759, predictive_accuracy: 0.7777, prior_entropy: 0.7088, recall: 0.7777, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.0573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, f_measure: 0.7583, kappa: 0.2086, kb_relative_information_score: 224.9425, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7534, predictive_accuracy: 0.7639, prior_entropy: 0.7088, recall: 0.7639, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4375, root_relative_squared_error: 1.1075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.7712, kappa: 0.2213, kb_relative_information_score: 165.4496, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7616, predictive_accuracy: 0.7893, prior_entropy: 0.7088, recall: 0.7893, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.7709, kappa: 0.2134, kb_relative_information_score: 160.6704, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7611, predictive_accuracy: 0.7927, prior_entropy: 0.7088, recall: 0.7927, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3972, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.7737, kappa: 0.2195, kb_relative_information_score: 198.1657, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7648, predictive_accuracy: 0.7974, prior_entropy: 0.7088, recall: 0.7974, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.7725, kappa: 0.2168, kb_relative_information_score: 202.8422, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7632, predictive_accuracy: 0.7954, prior_entropy: 0.7088, recall: 0.7954, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7724, kappa: 0.2166, kb_relative_information_score: 187.8805, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7631, predictive_accuracy: 0.7953, prior_entropy: 0.7088, recall: 0.7953, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.7716, kappa: 0.2237, kb_relative_information_score: 207.6025, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7621, predictive_accuracy: 0.7892, prior_entropy: 0.7088, recall: 0.7892, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.401, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6174, f_measure: 0.7586, kappa: 0.2201, kb_relative_information_score: 357.379, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7566, predictive_accuracy: 0.7607, prior_entropy: 0.7088, recall: 0.7607, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4606, root_relative_squared_error: 1.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.763, kappa: 0.2161, kb_relative_information_score: 211.5941, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7563, predictive_accuracy: 0.7716, prior_entropy: 0.7088, recall: 0.7716, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4311, root_relative_squared_error: 1.0914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7729, kappa: 0.2142, kb_relative_information_score: 283.3099, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7642, predictive_accuracy: 0.7983, prior_entropy: 0.7088, recall: 0.7983, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.7725, kappa: 0.2298, kb_relative_information_score: 268.0898, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7634, predictive_accuracy: 0.7885, prior_entropy: 0.7088, recall: 0.7885, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4027, root_relative_squared_error: 1.0195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.7715, kappa: 0.2245, kb_relative_information_score: 269.4737, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7621, predictive_accuracy: 0.7884, prior_entropy: 0.7088, recall: 0.7884, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4028, root_relative_squared_error: 1.0198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.7591, kappa: 0.2056, kb_relative_information_score: 278.2737, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7528, predictive_accuracy: 0.7668, prior_entropy: 0.7088, recall: 0.7668, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4376, root_relative_squared_error: 1.1077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.758, kappa: 0.2035, kb_relative_information_score: 168.3975, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.752, predictive_accuracy: 0.7653, prior_entropy: 0.7088, recall: 0.7653, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4484, root_relative_squared_error: 1.1352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7677, kappa: 0.1939, kb_relative_information_score: 169.1591, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7581, predictive_accuracy: 0.795, prior_entropy: 0.7088, recall: 0.795, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.7562, kappa: 0.2021, kb_relative_information_score: 284.3285, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7514, predictive_accuracy: 0.7619, prior_entropy: 0.7088, recall: 0.7619, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4493, root_relative_squared_error: 1.1373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7703, kappa: 0.21, kb_relative_information_score: 150.784, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7605, predictive_accuracy: 0.793, prior_entropy: 0.7088, recall: 0.793, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.7715, kappa: 0.2103, kb_relative_information_score: 199.2346, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7623, predictive_accuracy: 0.7964, prior_entropy: 0.7088, recall: 0.7964, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7702, kappa: 0.2098, kb_relative_information_score: 148.4942, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7603, predictive_accuracy: 0.7927, prior_entropy: 0.7088, recall: 0.7927, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.764, kappa: 0.2122, kb_relative_information_score: 141.6418, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7558, predictive_accuracy: 0.7756, prior_entropy: 0.7088, recall: 0.7756, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.7637, kappa: 0.2179, kb_relative_information_score: 229.7976, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7569, predictive_accuracy: 0.7724, prior_entropy: 0.7088, recall: 0.7724, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4293, root_relative_squared_error: 1.0867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.7712, kappa: 0.2293, kb_relative_information_score: 277.6698, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7623, predictive_accuracy: 0.7853, prior_entropy: 0.7088, recall: 0.7853, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.0424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.7688, kappa: 0.221, kb_relative_information_score: 247.5627, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7597, predictive_accuracy: 0.7834, prior_entropy: 0.7088, recall: 0.7834, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4112, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.7711, kappa: 0.2138, kb_relative_information_score: 131.1522, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7613, predictive_accuracy: 0.793, prior_entropy: 0.7088, recall: 0.793, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3952, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7689, kappa: 0.1975, kb_relative_information_score: 189.0037, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7597, predictive_accuracy: 0.7965, prior_entropy: 0.7088, recall: 0.7965, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.7696, kappa: 0.2097, kb_relative_information_score: 125.159, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7596, predictive_accuracy: 0.7913, prior_entropy: 0.7088, recall: 0.7913, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3993, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6018, f_measure: 0.7585, kappa: 0.2179, kb_relative_information_score: 549.6509, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.756, predictive_accuracy: 0.7612, prior_entropy: 0.7088, recall: 0.7612, relative_absolute_error: 0.8001, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.2172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.7708, kappa: 0.2291, kb_relative_information_score: 272.2193, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7621, predictive_accuracy: 0.7844, prior_entropy: 0.7088, recall: 0.7844, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4107, root_relative_squared_error: 1.0398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.7711, kappa: 0.2217, kb_relative_information_score: 193.4837, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7615, predictive_accuracy: 0.7888, prior_entropy: 0.7088, recall: 0.7888, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4013, root_relative_squared_error: 1.0158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.7614, kappa: 0.2133, kb_relative_information_score: 310.26, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7552, predictive_accuracy: 0.7691, prior_entropy: 0.7088, recall: 0.7691, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.1318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.7618, kappa: 0.2098, kb_relative_information_score: 256.8599, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7545, predictive_accuracy: 0.7713, prior_entropy: 0.7088, recall: 0.7713, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4238, root_relative_squared_error: 1.0728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7724, kappa: 0.2177, kb_relative_information_score: 189.1493, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7629, predictive_accuracy: 0.7945, prior_entropy: 0.7088, recall: 0.7945, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.7594, kappa: 0.2068, kb_relative_information_score: 301.2297, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7531, predictive_accuracy: 0.767, prior_entropy: 0.7088, recall: 0.767, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4381, root_relative_squared_error: 1.1089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.7704, kappa: 0.2245, kb_relative_information_score: 249.2634, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7612, predictive_accuracy: 0.7856, prior_entropy: 0.7088, recall: 0.7856, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4088, root_relative_squared_error: 1.0348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6403, f_measure: 0.7618, kappa: 0.2103, kb_relative_information_score: 156.4611, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7546, predictive_accuracy: 0.7712, prior_entropy: 0.7088, recall: 0.7712, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.0931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.7698, kappa: 0.2185, kb_relative_information_score: 261.5826, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7601, predictive_accuracy: 0.787, prior_entropy: 0.7088, recall: 0.787, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4067, root_relative_squared_error: 1.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7726, kappa: 0.2184, kb_relative_information_score: 175.4065, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7631, predictive_accuracy: 0.7947, prior_entropy: 0.7088, recall: 0.7947, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, f_measure: 0.7628, kappa: 0.2158, kb_relative_information_score: 138.907, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7561, predictive_accuracy: 0.7712, prior_entropy: 0.7088, recall: 0.7712, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4337, root_relative_squared_error: 1.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.7694, kappa: 0.2225, kb_relative_information_score: 232.5542, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7603, predictive_accuracy: 0.784, prior_entropy: 0.7088, recall: 0.784, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4111, root_relative_squared_error: 1.0408,

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

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

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

OpenML APIs