Task
Supervised Classification on first-order-theorem-proving

Supervised Classification on first-order-theorem-proving

Task 9985 Supervised Classification first-order-theorem-proving 14778 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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14778 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.5452, kappa: 0.3951, kb_relative_information_score: 2618.5086, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5462, predictive_accuracy: 0.5451, prior_entropy: 2.3005, recall: 0.5451, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.352, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.5349, kappa: 0.3821, kb_relative_information_score: 2426.7396, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5302, predictive_accuracy: 0.5415, prior_entropy: 2.3005, recall: 0.5415, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.526, kappa: 0.3701, kb_relative_information_score: 2272.2698, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.52, predictive_accuracy: 0.5384, prior_entropy: 2.3005, recall: 0.5384, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.5336, kappa: 0.3803, kb_relative_information_score: 2369.5637, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.529, predictive_accuracy: 0.54, prior_entropy: 2.3005, recall: 0.54, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.327, root_relative_squared_error: 0.9236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.5426, kappa: 0.3917, kb_relative_information_score: 2549.6599, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5418, predictive_accuracy: 0.5441, prior_entropy: 2.3005, recall: 0.5441, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.5342, kappa: 0.3808, kb_relative_information_score: 2418.9691, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.531, predictive_accuracy: 0.5396, prior_entropy: 2.3005, recall: 0.5396, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.5416, kappa: 0.3909, kb_relative_information_score: 2485.0233, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5379, predictive_accuracy: 0.5474, prior_entropy: 2.3005, recall: 0.5474, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.5451, kappa: 0.3951, kb_relative_information_score: 2582.4315, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5454, predictive_accuracy: 0.5458, prior_entropy: 2.3005, recall: 0.5458, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.552, kappa: 0.404, kb_relative_information_score: 2679.6136, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5558, predictive_accuracy: 0.5489, prior_entropy: 2.3005, recall: 0.5489, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3595, root_relative_squared_error: 1.0154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.5311, kappa: 0.3771, kb_relative_information_score: 2312.3488, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5258, predictive_accuracy: 0.54, prior_entropy: 2.3005, recall: 0.54, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.5355, kappa: 0.383, kb_relative_information_score: 2424.4778, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5309, predictive_accuracy: 0.5422, prior_entropy: 2.3005, recall: 0.5422, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.5332, kappa: 0.3797, kb_relative_information_score: 2413.4302, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.53, predictive_accuracy: 0.5384, prior_entropy: 2.3005, recall: 0.5384, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.9132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.5339, kappa: 0.3805, kb_relative_information_score: 2419.6949, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5307, predictive_accuracy: 0.5392, prior_entropy: 2.3005, recall: 0.5392, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.323, root_relative_squared_error: 0.9124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.5316, kappa: 0.3778, kb_relative_information_score: 2339.6428, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5268, predictive_accuracy: 0.5391, prior_entropy: 2.3005, recall: 0.5391, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.5406, kappa: 0.3895, kb_relative_information_score: 2513.2961, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5371, predictive_accuracy: 0.5461, prior_entropy: 2.3005, recall: 0.5461, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.5325, kappa: 0.3788, kb_relative_information_score: 2369.8688, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.528, predictive_accuracy: 0.5389, prior_entropy: 2.3005, recall: 0.5389, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.5426, kappa: 0.3919, kb_relative_information_score: 2512.9373, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5411, predictive_accuracy: 0.5451, prior_entropy: 2.3005, recall: 0.5451, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.9529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.5319, kappa: 0.3783, kb_relative_information_score: 2322.6404, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5263, predictive_accuracy: 0.541, prior_entropy: 2.3005, recall: 0.541, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.9145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.5351, kappa: 0.383, kb_relative_information_score: 2263.8761, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.529, predictive_accuracy: 0.5453, prior_entropy: 2.3005, recall: 0.5453, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.9106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.5225, kappa: 0.3659, kb_relative_information_score: 2192.7198, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5157, predictive_accuracy: 0.534, prior_entropy: 2.3005, recall: 0.534, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.5424, kappa: 0.3914, kb_relative_information_score: 2539.9747, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5425, predictive_accuracy: 0.5428, prior_entropy: 2.3005, recall: 0.5428, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.9778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.5339, kappa: 0.3808, kb_relative_information_score: 2402.8672, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5291, predictive_accuracy: 0.5405, prior_entropy: 2.3005, recall: 0.5405, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.5283, kappa: 0.3734, kb_relative_information_score: 2266.4869, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5221, predictive_accuracy: 0.5409, prior_entropy: 2.3005, recall: 0.5409, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.5404, kappa: 0.389, kb_relative_information_score: 2488.3923, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5375, predictive_accuracy: 0.5448, prior_entropy: 2.3005, recall: 0.5448, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.5425, kappa: 0.3918, kb_relative_information_score: 2500.7796, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5396, predictive_accuracy: 0.5472, prior_entropy: 2.3005, recall: 0.5472, relative_absolute_error: 0.6589, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.9399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.5341, kappa: 0.3808, kb_relative_information_score: 2367.5225, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5298, predictive_accuracy: 0.5425, prior_entropy: 2.3005, recall: 0.5425, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.9061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.5172, kappa: 0.3593, kb_relative_information_score: 2125.87, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5105, predictive_accuracy: 0.5317, prior_entropy: 2.3005, recall: 0.5317, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.5277, kappa: 0.3727, kb_relative_information_score: 2263.7051, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5214, predictive_accuracy: 0.5404, prior_entropy: 2.3005, recall: 0.5404, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.5206, kappa: 0.363, kb_relative_information_score: 2201.5954, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5143, predictive_accuracy: 0.5342, prior_entropy: 2.3005, recall: 0.5342, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.9013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.5198, kappa: 0.3624, kb_relative_information_score: 2174.7692, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5124, predictive_accuracy: 0.5324, prior_entropy: 2.3005, recall: 0.5324, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.9082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.5396, kappa: 0.3878, kb_relative_information_score: 2526.702, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5388, predictive_accuracy: 0.5415, prior_entropy: 2.3005, recall: 0.5415, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.535, kappa: 0.3828, kb_relative_information_score: 2266.0149, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5289, predictive_accuracy: 0.5451, prior_entropy: 2.3005, recall: 0.5451, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.9108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.5372, kappa: 0.3851, kb_relative_information_score: 2402.6081, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5331, predictive_accuracy: 0.5432, prior_entropy: 2.3005, recall: 0.5432, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.5318, kappa: 0.3781, kb_relative_information_score: 2333.6304, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5268, predictive_accuracy: 0.5396, prior_entropy: 2.3005, recall: 0.5396, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.5399, kappa: 0.388, kb_relative_information_score: 2484.2113, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.539, predictive_accuracy: 0.5418, prior_entropy: 2.3005, recall: 0.5418, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.5335, kappa: 0.38, kb_relative_information_score: 2371.8348, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.529, predictive_accuracy: 0.542, prior_entropy: 2.3005, recall: 0.542, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.56, kappa: 0.4146, kb_relative_information_score: 2711.8478, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5641, predictive_accuracy: 0.5567, prior_entropy: 2.3005, recall: 0.5567, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3624, root_relative_squared_error: 1.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.5508, kappa: 0.4025, kb_relative_information_score: 2653.77, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5577, predictive_accuracy: 0.5466, prior_entropy: 2.3005, recall: 0.5466, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3633, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.5403, kappa: 0.3891, kb_relative_information_score: 2481.3111, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5377, predictive_accuracy: 0.5449, prior_entropy: 2.3005, recall: 0.5449, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.5297, kappa: 0.3752, kb_relative_information_score: 2355.9975, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5247, predictive_accuracy: 0.5391, prior_entropy: 2.3005, recall: 0.5391, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.5238, kappa: 0.3675, kb_relative_information_score: 2203.8986, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5172, predictive_accuracy: 0.5353, prior_entropy: 2.3005, recall: 0.5353, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.5175, kappa: 0.3597, kb_relative_information_score: 2127.3806, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5107, predictive_accuracy: 0.532, prior_entropy: 2.3005, recall: 0.532, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.5206, kappa: 0.363, kb_relative_information_score: 2202.2936, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5144, predictive_accuracy: 0.534, prior_entropy: 2.3005, recall: 0.534, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.5475, kappa: 0.3982, kb_relative_information_score: 2664.7039, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5519, predictive_accuracy: 0.5443, prior_entropy: 2.3005, recall: 0.5443, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.5204, kappa: 0.3627, kb_relative_information_score: 2202.0007, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5141, predictive_accuracy: 0.5338, prior_entropy: 2.3005, recall: 0.5338, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.9013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.5407, kappa: 0.3898, kb_relative_information_score: 2419.3991, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.536, predictive_accuracy: 0.5476, prior_entropy: 2.3005, recall: 0.5476, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.9254,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.5237, kappa: 0.3674, kb_relative_information_score: 2203.9499, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5172, predictive_accuracy: 0.5351, prior_entropy: 2.3005, recall: 0.5351, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.5304, kappa: 0.3764, kb_relative_information_score: 2239.5186, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5248, predictive_accuracy: 0.5407, prior_entropy: 2.3005, recall: 0.5407, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.9107,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.5422, kappa: 0.3911, kb_relative_information_score: 2546.1367, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5428, predictive_accuracy: 0.5422, prior_entropy: 2.3005, recall: 0.5422, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.9767,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.5304, kappa: 0.3761, kb_relative_information_score: 2357.8123, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5252, predictive_accuracy: 0.5397, prior_entropy: 2.3005, recall: 0.5397, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.9026,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5565, kappa: 0.4099, kb_relative_information_score: 2654.9712, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.56, predictive_accuracy: 0.5539, prior_entropy: 2.3005, recall: 0.5539, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.0312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.5362, kappa: 0.3837, kb_relative_information_score: 2431.4279, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5317, predictive_accuracy: 0.5427, prior_entropy: 2.3005, recall: 0.5427, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.5214, kappa: 0.3645, kb_relative_information_score: 2188.3148, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5146, predictive_accuracy: 0.5329, prior_entropy: 2.3005, recall: 0.5329, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.9101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.5544, kappa: 0.4073, kb_relative_information_score: 2593.5349, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5565, predictive_accuracy: 0.5526, prior_entropy: 2.3005, recall: 0.5526, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3827, root_relative_squared_error: 1.0809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.5287, kappa: 0.3738, kb_relative_information_score: 2349.6186, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5236, predictive_accuracy: 0.5381, prior_entropy: 2.3005, recall: 0.5381, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.5178, kappa: 0.3601, kb_relative_information_score: 2128.8188, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5109, predictive_accuracy: 0.5324, prior_entropy: 2.3005, recall: 0.5324, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.322, root_relative_squared_error: 0.9093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.5215, kappa: 0.3646, kb_relative_information_score: 2186.2439, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5148, predictive_accuracy: 0.5329, prior_entropy: 2.3005, recall: 0.5329, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.9101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.5366, kappa: 0.3841, kb_relative_information_score: 2474.4731, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5344, predictive_accuracy: 0.5404, prior_entropy: 2.3005, recall: 0.5404, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.5269, kappa: 0.3714, kb_relative_information_score: 2305.5293, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5207, predictive_accuracy: 0.5391, prior_entropy: 2.3005, recall: 0.5391, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.5225, kappa: 0.3659, kb_relative_information_score: 2191.7695, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5158, predictive_accuracy: 0.5338, prior_entropy: 2.3005, recall: 0.5338, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.5403, kappa: 0.3889, kb_relative_information_score: 2478.5272, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5375, predictive_accuracy: 0.5449, prior_entropy: 2.3005, recall: 0.5449, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.9428,

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