Task
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143129 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_7 study_98 study_99 under100k under1m
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143129 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.8836, kappa: 0.316, kb_relative_information_score: 327.338, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8776, predictive_accuracy: 0.8938, prior_entropy: 0.478, recall: 0.8938, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3173, root_relative_squared_error: 1.0469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.8629, kappa: 0.2175, kb_relative_information_score: -80.3199, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8569, predictive_accuracy: 0.8701, prior_entropy: 0.478, recall: 0.8701, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3215, root_relative_squared_error: 1.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, f_measure: 0.8605, kappa: 0.1564, kb_relative_information_score: -160.0566, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8489, predictive_accuracy: 0.8784, prior_entropy: 0.478, recall: 0.8784, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3092, root_relative_squared_error: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.869, kappa: 0.2016, kb_relative_information_score: -514.0369, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8596, predictive_accuracy: 0.8874, prior_entropy: 0.478, recall: 0.8874, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.8637, kappa: 0.1713, kb_relative_information_score: -173.8595, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8527, predictive_accuracy: 0.8823, prior_entropy: 0.478, recall: 0.8823, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8492, kb_relative_information_score: 407.2387, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.8602, kappa: 0.1319, kb_relative_information_score: -221.6572, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8475, predictive_accuracy: 0.8842, prior_entropy: 0.478, recall: 0.8842, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.8492, kb_relative_information_score: -355.9905, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.9396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.8614, kappa: 0.14, kb_relative_information_score: -240.7047, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8492, predictive_accuracy: 0.8848, prior_entropy: 0.478, recall: 0.8848, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.8536, kappa: 0.0417, kb_relative_information_score: -101.2185, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8444, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5389, f_measure: 0.8495, kappa: 0.006, kb_relative_information_score: -28.7443, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8265, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1251, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.8528, kappa: 0.029, kb_relative_information_score: 168.9853, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8583, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3055, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.8492, kb_relative_information_score: -389.7712, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6148, f_measure: 0.8656, kappa: 0.203, kb_relative_information_score: -28.2565, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8564, predictive_accuracy: 0.8791, prior_entropy: 0.478, recall: 0.8791, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1251, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1251, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1251, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1251, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1251, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.8793, kappa: 0.237, kb_relative_information_score: -151.229, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8818, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.8856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8828, kappa: 0.2612, kb_relative_information_score: -181.1348, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8859, predictive_accuracy: 0.906, prior_entropy: 0.478, recall: 0.906, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.8592, kappa: 0.2341, kb_relative_information_score: -28.1006, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8592, predictive_accuracy: 0.8592, prior_entropy: 0.478, recall: 0.8592, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3741, root_relative_squared_error: 1.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.8786, kappa: 0.2432, kb_relative_information_score: -203.2223, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8754, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.8071, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.8953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.8822, kappa: 0.2646, kb_relative_information_score: -166.7804, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8812, predictive_accuracy: 0.9034, prior_entropy: 0.478, recall: 0.9034, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.8609, kappa: 0.1179, kb_relative_information_score: -298.6545, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8498, predictive_accuracy: 0.89, prior_entropy: 0.478, recall: 0.89, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: -2.064, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.8807, kappa: 0.2491, kb_relative_information_score: -185.8572, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8819, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8793, kappa: 0.2431, kb_relative_information_score: -223.001, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8783, predictive_accuracy: 0.9021, prior_entropy: 0.478, recall: 0.9021, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.273, root_relative_squared_error: 0.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.8566, kappa: 0.0716, kb_relative_information_score: -263.7791, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8464, predictive_accuracy: 0.8932, prior_entropy: 0.478, recall: 0.8932, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.286, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.8832, kappa: 0.2806, kb_relative_information_score: -108.7671, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8795, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.7507, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.8492, kb_relative_information_score: -207.8511, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.8616, kappa: 0.1168, kb_relative_information_score: -231.5415, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8527, predictive_accuracy: 0.8925, prior_entropy: 0.478, recall: 0.8925, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.9396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.8483, kappa: -0.0038, kb_relative_information_score: -5365.786, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 2.5326, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.4831, root_relative_squared_error: 1.5936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, f_measure: 0.8563, kappa: 0.1897, kb_relative_information_score: -86.5846, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8514, predictive_accuracy: 0.8618, prior_entropy: 0.478, recall: 0.8618, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3354, root_relative_squared_error: 1.1063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.8766, kappa: 0.2316, kb_relative_information_score: -226.5812, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8721, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.9022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8818, kappa: 0.2571, kb_relative_information_score: -220.191, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8833, predictive_accuracy: 0.9047, prior_entropy: 0.478, recall: 0.9047, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8818, kappa: 0.2571, kb_relative_information_score: -220.191, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8833, predictive_accuracy: 0.9047, prior_entropy: 0.478, recall: 0.9047, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8796, kappa: 0.2411, kb_relative_information_score: -195.9165, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8805, predictive_accuracy: 0.9034, prior_entropy: 0.478, recall: 0.9034, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8818, kappa: 0.2571, kb_relative_information_score: -220.191, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8833, predictive_accuracy: 0.9047, prior_entropy: 0.478, recall: 0.9047, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8818, kappa: 0.2571, kb_relative_information_score: -220.191, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8833, predictive_accuracy: 0.9047, prior_entropy: 0.478, recall: 0.9047, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8818, kappa: 0.2571, kb_relative_information_score: -220.191, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8833, predictive_accuracy: 0.9047, prior_entropy: 0.478, recall: 0.9047, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8818, kappa: 0.2571, kb_relative_information_score: -220.191, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8833, predictive_accuracy: 0.9047, prior_entropy: 0.478, recall: 0.9047, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.8501, kappa: 0.0085, kb_relative_information_score: -1437.0287, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8403, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 1.1648, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.877, kappa: 0.2766, kb_relative_information_score: 297.1284, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.87, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3187, root_relative_squared_error: 1.0513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.8656, kappa: 0.223, kb_relative_information_score: 3.9153, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8585, predictive_accuracy: 0.8746, prior_entropy: 0.478, recall: 0.8746, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.315, root_relative_squared_error: 1.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.8608, kappa: 0.097, kb_relative_information_score: -225.7359, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8597, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9282,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.8724, kappa: 0.2215, kb_relative_information_score: -119.6508, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8641, predictive_accuracy: 0.8906, prior_entropy: 0.478, recall: 0.8906, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9681,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.8635, kappa: 0.2591, kb_relative_information_score: -120.66, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8638, predictive_accuracy: 0.8631, prior_entropy: 0.478, recall: 0.8631, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3373, root_relative_squared_error: 1.1129,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.8685, kappa: 0.2235, kb_relative_information_score: -103.2347, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.86, predictive_accuracy: 0.881, prior_entropy: 0.478, recall: 0.881, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3118, root_relative_squared_error: 1.0285,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.8658, kappa: 0.2636, kb_relative_information_score: -69.0475, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8647, predictive_accuracy: 0.8669, prior_entropy: 0.478, recall: 0.8669, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3492, root_relative_squared_error: 1.1519,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8492, kb_relative_information_score: 2.1237, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.856, kappa: 0.1045, kb_relative_information_score: -222.325, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8412, predictive_accuracy: 0.881, prior_entropy: 0.478, recall: 0.881, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.9617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.8637, kappa: 0.1248, kb_relative_information_score: -195.7528, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8591, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.8672, kappa: 0.2054, kb_relative_information_score: -190.8895, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8578, predictive_accuracy: 0.8823, prior_entropy: 0.478, recall: 0.8823, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3091, root_relative_squared_error: 1.0196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.8561, kappa: 0.1568, kb_relative_information_score: -180.0404, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8465, predictive_accuracy: 0.8682, prior_entropy: 0.478, recall: 0.8682, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.0542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.8556, kappa: 0.1554, kb_relative_information_score: -193.4679, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8462, predictive_accuracy: 0.8676, prior_entropy: 0.478, recall: 0.8676, relative_absolute_error: 0.8484, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.8694, kappa: 0.2267, kb_relative_information_score: -61.0722, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8609, predictive_accuracy: 0.8823, prior_entropy: 0.478, recall: 0.8823, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3103, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.8719, kappa: 0.2294, kb_relative_information_score: -111.8831, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8633, predictive_accuracy: 0.8874, prior_entropy: 0.478, recall: 0.8874, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.873, kappa: 0.2271, kb_relative_information_score: -155.2942, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8648, predictive_accuracy: 0.8906, prior_entropy: 0.478, recall: 0.8906, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.9662,

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