OpenML
Supervised Classification on gina_agnostic

Supervised Classification on gina_agnostic

Task 3891 Supervised Classification gina_agnostic 66404 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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.867, kappa: 0.734, kb_relative_information_score: 2541.2681, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8672, predictive_accuracy: 0.8671, prior_entropy: 0.9998, recall: 0.8671, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8725, kappa: 0.745, kb_relative_information_score: 2392.2385, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8726, predictive_accuracy: 0.8725, prior_entropy: 0.9998, recall: 0.8725, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8546, kappa: 0.7091, kb_relative_information_score: 2439.9575, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8548, predictive_accuracy: 0.8547, prior_entropy: 0.9998, recall: 0.8547, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8644, kappa: 0.7287, kb_relative_information_score: 2376.5225, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8649, predictive_accuracy: 0.8645, prior_entropy: 0.9998, recall: 0.8645, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8714, kappa: 0.7427, kb_relative_information_score: 2437.2095, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8714, predictive_accuracy: 0.8714, prior_entropy: 0.9998, recall: 0.8714, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8656, kappa: 0.7311, kb_relative_information_score: 2433.4939, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8657, predictive_accuracy: 0.8656, prior_entropy: 0.9998, recall: 0.8656, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8697, kappa: 0.7392, kb_relative_information_score: 2433.7055, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8697, predictive_accuracy: 0.8697, prior_entropy: 0.9998, recall: 0.8697, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8682, kappa: 0.7363, kb_relative_information_score: 2447.8866, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8682, predictive_accuracy: 0.8682, prior_entropy: 0.9998, recall: 0.8682, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8638, kappa: 0.7276, kb_relative_information_score: 2368.7144, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8642, predictive_accuracy: 0.8639, prior_entropy: 0.9998, recall: 0.8639, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8682, kappa: 0.7364, kb_relative_information_score: 2450.2111, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8682, predictive_accuracy: 0.8682, prior_entropy: 0.9998, recall: 0.8682, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8688, kappa: 0.7374, kb_relative_information_score: 2384.8499, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8689, predictive_accuracy: 0.8688, prior_entropy: 0.9998, recall: 0.8688, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8575, kappa: 0.7149, kb_relative_information_score: 2440.8131, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8578, predictive_accuracy: 0.8576, prior_entropy: 0.9998, recall: 0.8576, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8792, kappa: 0.7583, kb_relative_information_score: 2567.5066, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8792, predictive_accuracy: 0.8792, prior_entropy: 0.9998, recall: 0.8792, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8645, kappa: 0.7288, kb_relative_information_score: 2435.2067, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8645, predictive_accuracy: 0.8645, prior_entropy: 0.9998, recall: 0.8645, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8615, kappa: 0.723, kb_relative_information_score: 2371.982, mean_absolute_error: 0.162, 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: 0.3242, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8766, kappa: 0.7531, kb_relative_information_score: 2557.1662, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8766, predictive_accuracy: 0.8766, prior_entropy: 0.9998, recall: 0.8766, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8494, kappa: 0.6987, kb_relative_information_score: 2417.3958, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8497, predictive_accuracy: 0.8495, prior_entropy: 0.9998, recall: 0.8495, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8607, kappa: 0.7212, kb_relative_information_score: 2379.6595, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.861, predictive_accuracy: 0.8607, prior_entropy: 0.9998, recall: 0.8607, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8668, kappa: 0.7334, kb_relative_information_score: 2428.5753, mean_absolute_error: 0.1529, 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: 0.3058, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8586, kappa: 0.7172, kb_relative_information_score: 2467.0233, mean_absolute_error: 0.1454, 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: 0.291, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8783, kappa: 0.7565, kb_relative_information_score: 2559.859, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8783, predictive_accuracy: 0.8783, prior_entropy: 0.9998, recall: 0.8783, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 2441.2243, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8566, predictive_accuracy: 0.8561, prior_entropy: 0.9998, recall: 0.8561, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8569, kappa: 0.7137, kb_relative_information_score: 2473.64, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8572, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8589, kappa: 0.7178, kb_relative_information_score: 2437.3673, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8593, predictive_accuracy: 0.859, prior_entropy: 0.9998, recall: 0.859, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8694, kappa: 0.7387, kb_relative_information_score: 2449.3302, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8694, predictive_accuracy: 0.8694, prior_entropy: 0.9998, recall: 0.8694, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8607, kappa: 0.7212, kb_relative_information_score: 2361.9681, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.861, predictive_accuracy: 0.8607, prior_entropy: 0.9998, recall: 0.8607, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8679, kappa: 0.7357, kb_relative_information_score: 2518.3013, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8682, predictive_accuracy: 0.8679, prior_entropy: 0.9998, recall: 0.8679, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8612, kappa: 0.7224, kb_relative_information_score: 2381.8743, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8615, predictive_accuracy: 0.8613, prior_entropy: 0.9998, recall: 0.8613, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8676, kappa: 0.7352, kb_relative_information_score: 2541.4402, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8677, predictive_accuracy: 0.8676, prior_entropy: 0.9998, recall: 0.8676, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.6973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.867, kappa: 0.734, kb_relative_information_score: 2440.6486, mean_absolute_error: 0.1509, 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: 0.3018, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8633, kappa: 0.7264, kb_relative_information_score: 2368.669, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8636, predictive_accuracy: 0.8633, prior_entropy: 0.9998, recall: 0.8633, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8717, kappa: 0.7433, kb_relative_information_score: 2432.4703, mean_absolute_error: 0.154, 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: 0.3082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8659, kappa: 0.7316, kb_relative_information_score: 2374.7498, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8661, predictive_accuracy: 0.8659, prior_entropy: 0.9998, recall: 0.8659, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8685, kappa: 0.7369, kb_relative_information_score: 2376.9279, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8686, predictive_accuracy: 0.8685, prior_entropy: 0.9998, recall: 0.8685, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.318, root_relative_squared_error: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8711, kappa: 0.7421, kb_relative_information_score: 2386.3374, mean_absolute_error: 0.1614, 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: 0.3229, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8658, kappa: 0.7316, kb_relative_information_score: 2467.7298, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8662, predictive_accuracy: 0.8659, prior_entropy: 0.9998, recall: 0.8659, relative_absolute_error: 0.2923, 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: 0.9227, f_measure: 0.8685, kappa: 0.7368, kb_relative_information_score: 2387.745, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8687, predictive_accuracy: 0.8685, prior_entropy: 0.9998, recall: 0.8685, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8644, kappa: 0.7287, kb_relative_information_score: 2372.1909, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8648, predictive_accuracy: 0.8645, prior_entropy: 0.9998, recall: 0.8645, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.874, kappa: 0.7478, kb_relative_information_score: 2534.1795, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8741, predictive_accuracy: 0.874, prior_entropy: 0.9998, recall: 0.874, relative_absolute_error: 0.2724, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8581, kappa: 0.716, kb_relative_information_score: 2439.3001, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8584, predictive_accuracy: 0.8581, prior_entropy: 0.9998, recall: 0.8581, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.876, kappa: 0.7519, kb_relative_information_score: 2545.943, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8761, predictive_accuracy: 0.876, prior_entropy: 0.9998, recall: 0.876, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8728, kappa: 0.7456, kb_relative_information_score: 2445.7516, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9998, recall: 0.8728, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8586, kappa: 0.7172, kb_relative_information_score: 2439.1021, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8589, predictive_accuracy: 0.8587, prior_entropy: 0.9998, recall: 0.8587, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.6787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8673, kappa: 0.7345, kb_relative_information_score: 2462.41, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8677, predictive_accuracy: 0.8674, prior_entropy: 0.9998, recall: 0.8674, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.867, kappa: 0.734, kb_relative_information_score: 2509.2712, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8672, predictive_accuracy: 0.8671, prior_entropy: 0.9998, recall: 0.8671, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8598, kappa: 0.7195, kb_relative_information_score: 2434.8122, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8601, predictive_accuracy: 0.8599, prior_entropy: 0.9998, recall: 0.8599, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6781,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8641, kappa: 0.7282, kb_relative_information_score: 2370.1816, mean_absolute_error: 0.1627, 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: 0.3255, 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: 0.9228, f_measure: 0.8647, kappa: 0.7294, kb_relative_information_score: 2429.276, mean_absolute_error: 0.1526, 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: 0.3052, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8682, kappa: 0.7363, kb_relative_information_score: 2376.5156, mean_absolute_error: 0.1624, 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: 0.3249, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8673, kappa: 0.7346, kb_relative_information_score: 2508.0854, mean_absolute_error: 0.1396, 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: 0.2793, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8742, kappa: 0.7484, kb_relative_information_score: 2552.9391, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8744, predictive_accuracy: 0.8743, prior_entropy: 0.9998, recall: 0.8743, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.865, kappa: 0.73, kb_relative_information_score: 2433.9826, mean_absolute_error: 0.1518, 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: 0.3037, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8676, kappa: 0.7351, kb_relative_information_score: 2379.1324, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8678, predictive_accuracy: 0.8676, prior_entropy: 0.9998, recall: 0.8676, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8508, kappa: 0.7016, kb_relative_information_score: 2438.8973, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8512, predictive_accuracy: 0.8509, prior_entropy: 0.9998, recall: 0.8509, relative_absolute_error: 0.2971, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8589, kappa: 0.7178, kb_relative_information_score: 2431.2798, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8592, predictive_accuracy: 0.859, prior_entropy: 0.9998, recall: 0.859, relative_absolute_error: 0.302, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.6947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8647, kappa: 0.7293, kb_relative_information_score: 2375.5242, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8651, predictive_accuracy: 0.8648, prior_entropy: 0.9998, recall: 0.8648, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8693, kappa: 0.7386, kb_relative_information_score: 2518.9488, mean_absolute_error: 0.1378, 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: 0.2757, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8555, kappa: 0.7109, kb_relative_information_score: 2466.5123, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8556, predictive_accuracy: 0.8555, prior_entropy: 0.9998, recall: 0.8555, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7383,

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