Task
Supervised Classification on gina_agnostic

Supervised Classification on gina_agnostic

Task 3891 Supervised Classification gina_agnostic 65151 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_73 under100k
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65151 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.85, kappa: 0.6999, kb_relative_information_score: 2427.5799, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8501, predictive_accuracy: 0.8501, prior_entropy: 0.9998, recall: 0.8501, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8671, kappa: 0.734, kb_relative_information_score: 2443.0958, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8671, predictive_accuracy: 0.8671, prior_entropy: 0.9998, recall: 0.8671, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.867, kappa: 0.7339, kb_relative_information_score: 2385.8859, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8673, predictive_accuracy: 0.8671, prior_entropy: 0.9998, recall: 0.8671, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8604, kappa: 0.7207, kb_relative_information_score: 2394.172, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8605, predictive_accuracy: 0.8604, prior_entropy: 0.9998, recall: 0.8604, relative_absolute_error: 0.3154, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8641, kappa: 0.7282, kb_relative_information_score: 2364.4166, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8643, predictive_accuracy: 0.8642, prior_entropy: 0.9998, recall: 0.8642, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8627, kappa: 0.7253, kb_relative_information_score: 2424.9, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8629, predictive_accuracy: 0.8627, prior_entropy: 0.9998, recall: 0.8627, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8604, kappa: 0.7207, kb_relative_information_score: 2456.1559, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8606, predictive_accuracy: 0.8604, prior_entropy: 0.9998, recall: 0.8604, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8673, kappa: 0.7346, kb_relative_information_score: 2441.9379, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8674, predictive_accuracy: 0.8674, prior_entropy: 0.9998, recall: 0.8674, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8667, kappa: 0.7333, kb_relative_information_score: 2449.5032, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8671, predictive_accuracy: 0.8668, prior_entropy: 0.9998, recall: 0.8668, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8702, kappa: 0.7403, kb_relative_information_score: 2548.8168, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8704, predictive_accuracy: 0.8702, prior_entropy: 0.9998, recall: 0.8702, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8641, kappa: 0.7282, kb_relative_information_score: 2525.6194, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8644, predictive_accuracy: 0.8642, prior_entropy: 0.9998, recall: 0.8642, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8668, kappa: 0.7334, kb_relative_information_score: 2520.0867, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8668, predictive_accuracy: 0.8668, prior_entropy: 0.9998, recall: 0.8668, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8635, kappa: 0.727, kb_relative_information_score: 2361.0645, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8639, predictive_accuracy: 0.8636, prior_entropy: 0.9998, recall: 0.8636, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8673, kappa: 0.7346, kb_relative_information_score: 2442.647, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8674, predictive_accuracy: 0.8674, prior_entropy: 0.9998, recall: 0.8674, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8708, kappa: 0.7414, kb_relative_information_score: 2528.6953, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8711, predictive_accuracy: 0.8708, prior_entropy: 0.9998, recall: 0.8708, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8653, kappa: 0.7305, kb_relative_information_score: 2532.8501, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8655, predictive_accuracy: 0.8653, prior_entropy: 0.9998, recall: 0.8653, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8635, kappa: 0.727, kb_relative_information_score: 2368.1909, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8639, predictive_accuracy: 0.8636, prior_entropy: 0.9998, recall: 0.8636, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8572, kappa: 0.7143, kb_relative_information_score: 2473.3365, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8575, predictive_accuracy: 0.8573, prior_entropy: 0.9998, recall: 0.8573, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8523, kappa: 0.7045, kb_relative_information_score: 2431.6152, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8525, predictive_accuracy: 0.8524, prior_entropy: 0.9998, recall: 0.8524, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.6986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8717, kappa: 0.7432, kb_relative_information_score: 2386.9674, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8718, predictive_accuracy: 0.8717, prior_entropy: 0.9998, recall: 0.8717, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8731, kappa: 0.7462, kb_relative_information_score: 2442.2099, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8731, predictive_accuracy: 0.8731, prior_entropy: 0.9998, recall: 0.8731, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.312, root_relative_squared_error: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.865, kappa: 0.73, kb_relative_information_score: 2435.9022, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8651, predictive_accuracy: 0.8651, prior_entropy: 0.9998, recall: 0.8651, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8702, kappa: 0.7403, kb_relative_information_score: 2508.7885, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8703, predictive_accuracy: 0.8702, prior_entropy: 0.9998, recall: 0.8702, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8711, kappa: 0.7421, kb_relative_information_score: 2395.2861, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8712, predictive_accuracy: 0.8711, prior_entropy: 0.9998, recall: 0.8711, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8595, kappa: 0.7189, kb_relative_information_score: 2447.1962, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8598, predictive_accuracy: 0.8596, prior_entropy: 0.9998, recall: 0.8596, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8647, kappa: 0.7293, kb_relative_information_score: 2377.6055, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8649, predictive_accuracy: 0.8648, prior_entropy: 0.9998, recall: 0.8648, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8693, kappa: 0.7386, kb_relative_information_score: 2371.9917, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8695, predictive_accuracy: 0.8694, prior_entropy: 0.9998, recall: 0.8694, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8696, kappa: 0.7391, kb_relative_information_score: 2467.5191, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8701, predictive_accuracy: 0.8697, prior_entropy: 0.9998, recall: 0.8697, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8673, kappa: 0.7345, kb_relative_information_score: 2388.7685, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8676, predictive_accuracy: 0.8674, prior_entropy: 0.9998, recall: 0.8674, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8552, kappa: 0.7103, kb_relative_information_score: 2469.4866, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8554, predictive_accuracy: 0.8552, prior_entropy: 0.9998, recall: 0.8552, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8745, kappa: 0.749, kb_relative_information_score: 2551.4569, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8747, predictive_accuracy: 0.8746, prior_entropy: 0.9998, recall: 0.8746, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8676, kappa: 0.7351, kb_relative_information_score: 2498.0192, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8679, predictive_accuracy: 0.8676, prior_entropy: 0.9998, recall: 0.8676, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8592, kappa: 0.7184, kb_relative_information_score: 2446.4361, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8594, predictive_accuracy: 0.8593, prior_entropy: 0.9998, recall: 0.8593, relative_absolute_error: 0.2971, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8583, kappa: 0.7165, kb_relative_information_score: 2446.5671, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.859, predictive_accuracy: 0.8584, prior_entropy: 0.9998, recall: 0.8584, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.8586, kappa: 0.7172, kb_relative_information_score: 2378.9908, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.859, predictive_accuracy: 0.8587, prior_entropy: 0.9998, recall: 0.8587, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8671, kappa: 0.734, kb_relative_information_score: 2446.6951, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8671, predictive_accuracy: 0.8671, prior_entropy: 0.9998, recall: 0.8671, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8653, kappa: 0.7305, kb_relative_information_score: 2377.696, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8655, predictive_accuracy: 0.8653, prior_entropy: 0.9998, recall: 0.8653, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.872, kappa: 0.7439, kb_relative_information_score: 2432.14, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9998, recall: 0.872, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8572, kappa: 0.7144, kb_relative_information_score: 2382.805, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8574, predictive_accuracy: 0.8573, prior_entropy: 0.9998, recall: 0.8573, relative_absolute_error: 0.3183, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8621, kappa: 0.7241, kb_relative_information_score: 2370.6633, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8624, predictive_accuracy: 0.8622, prior_entropy: 0.9998, recall: 0.8622, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8688, kappa: 0.7375, kb_relative_information_score: 2449.5878, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8688, predictive_accuracy: 0.8688, prior_entropy: 0.9998, recall: 0.8688, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.317, root_relative_squared_error: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8572, kappa: 0.7144, kb_relative_information_score: 2467.8789, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8574, predictive_accuracy: 0.8573, prior_entropy: 0.9998, recall: 0.8573, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8673, kappa: 0.7345, kb_relative_information_score: 2544.8372, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8678, predictive_accuracy: 0.8674, prior_entropy: 0.9998, recall: 0.8674, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8717, kappa: 0.7432, kb_relative_information_score: 2392.5234, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8717, predictive_accuracy: 0.8717, prior_entropy: 0.9998, recall: 0.8717, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8563, kappa: 0.7125, kb_relative_information_score: 2421.0766, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8568, predictive_accuracy: 0.8564, prior_entropy: 0.9998, recall: 0.8564, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.869, kappa: 0.738, kb_relative_information_score: 2374.4399, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8692, predictive_accuracy: 0.8691, prior_entropy: 0.9998, recall: 0.8691, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.636,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8563, kappa: 0.7126, kb_relative_information_score: 2444.3979, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8566, predictive_accuracy: 0.8564, prior_entropy: 0.9998, recall: 0.8564, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6898,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8699, kappa: 0.7397, kb_relative_information_score: 2517.3694, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 0.9998, recall: 0.87, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8546, kappa: 0.7091, kb_relative_information_score: 2460.3951, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.855, predictive_accuracy: 0.8547, prior_entropy: 0.9998, recall: 0.8547, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7151,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8682, kappa: 0.7363, kb_relative_information_score: 2496.5772, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8683, predictive_accuracy: 0.8682, prior_entropy: 0.9998, recall: 0.8682, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6584,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8754, kappa: 0.7508, kb_relative_information_score: 2548.4169, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8754, predictive_accuracy: 0.8754, prior_entropy: 0.9998, recall: 0.8754, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8604, kappa: 0.7207, kb_relative_information_score: 2370.6925, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8607, predictive_accuracy: 0.8604, prior_entropy: 0.9998, recall: 0.8604, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6741,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8728, kappa: 0.7455, kb_relative_information_score: 2391.1275, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8729, predictive_accuracy: 0.8728, prior_entropy: 0.9998, recall: 0.8728, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8711, kappa: 0.7421, kb_relative_information_score: 2397.3927, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8712, predictive_accuracy: 0.8711, prior_entropy: 0.9998, recall: 0.8711, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8552, kappa: 0.7102, kb_relative_information_score: 2461.5764, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8556, predictive_accuracy: 0.8552, prior_entropy: 0.9998, recall: 0.8552, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8717, kappa: 0.7432, kb_relative_information_score: 2425.942, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8717, predictive_accuracy: 0.8717, prior_entropy: 0.9998, recall: 0.8717, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.8647, kappa: 0.7294, kb_relative_information_score: 2529.621, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8648, predictive_accuracy: 0.8648, prior_entropy: 0.9998, recall: 0.8648, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8705, kappa: 0.741, kb_relative_information_score: 2434.3319, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8705, predictive_accuracy: 0.8705, prior_entropy: 0.9998, recall: 0.8705, relative_absolute_error: 0.3058, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.317, root_relative_squared_error: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8578, kappa: 0.7155, kb_relative_information_score: 2410.2241, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8579, predictive_accuracy: 0.8578, prior_entropy: 0.9998, recall: 0.8578, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8691, kappa: 0.738, kb_relative_information_score: 2514.22, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8692, predictive_accuracy: 0.8691, prior_entropy: 0.9998, recall: 0.8691, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8635, kappa: 0.727, kb_relative_information_score: 2369.8194, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8639, predictive_accuracy: 0.8636, prior_entropy: 0.9998, recall: 0.8636, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8615, kappa: 0.723, kb_relative_information_score: 2391.8336, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8618, predictive_accuracy: 0.8616, prior_entropy: 0.9998, recall: 0.8616, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8668, kappa: 0.7334, kb_relative_information_score: 2443.4595, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8668, predictive_accuracy: 0.8668, prior_entropy: 0.9998, recall: 0.8668, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8655, kappa: 0.731, kb_relative_information_score: 2530.1632, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.866, predictive_accuracy: 0.8656, prior_entropy: 0.9998, recall: 0.8656, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8705, kappa: 0.7409, kb_relative_information_score: 2555.8371, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8706, predictive_accuracy: 0.8705, prior_entropy: 0.9998, recall: 0.8705, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.344, root_relative_squared_error: 0.688,

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