Task
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 138431 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • 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
Issue #Downvotes for this reason By


Metric:

138431 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.8712, kappa: 0.2202, kb_relative_information_score: -376.3166, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8624, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.8709, kappa: 0.2385, kb_relative_information_score: -314.345, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8629, predictive_accuracy: 0.8829, prior_entropy: 0.478, recall: 0.8829, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3061, root_relative_squared_error: 1.0097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.8575, kappa: 0.2287, kb_relative_information_score: -243.103, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8583, predictive_accuracy: 0.8567, prior_entropy: 0.478, recall: 0.8567, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3482, root_relative_squared_error: 1.1487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.8665, kappa: 0.2327, kb_relative_information_score: -327.6012, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8601, predictive_accuracy: 0.8746, prior_entropy: 0.478, recall: 0.8746, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3142, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.8733, kappa: 0.2345, kb_relative_information_score: -280.502, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.865, predictive_accuracy: 0.8893, prior_entropy: 0.478, recall: 0.8893, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.863, kappa: 0.2334, kb_relative_information_score: -358.808, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8594, predictive_accuracy: 0.8669, prior_entropy: 0.478, recall: 0.8669, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3226, root_relative_squared_error: 1.0643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.8641, kappa: 0.2551, kb_relative_information_score: -251.7656, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8631, predictive_accuracy: 0.865, prior_entropy: 0.478, recall: 0.865, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3273, root_relative_squared_error: 1.0796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.8679, kappa: 0.2373, kb_relative_information_score: -280.7831, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8611, predictive_accuracy: 0.8765, prior_entropy: 0.478, recall: 0.8765, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3244, root_relative_squared_error: 1.0702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.8668, kappa: 0.2039, kb_relative_information_score: -358.2027, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8573, predictive_accuracy: 0.8816, prior_entropy: 0.478, recall: 0.8816, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3121, root_relative_squared_error: 1.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.8612, kappa: 0.2246, kb_relative_information_score: -232.8693, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8577, predictive_accuracy: 0.865, prior_entropy: 0.478, recall: 0.865, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.334, root_relative_squared_error: 1.1018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.8598, kappa: 0.2266, kb_relative_information_score: -263.175, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8579, predictive_accuracy: 0.8618, prior_entropy: 0.478, recall: 0.8618, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3285, root_relative_squared_error: 1.0837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.8656, kappa: 0.2329, kb_relative_information_score: -296.6883, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8598, predictive_accuracy: 0.8727, prior_entropy: 0.478, recall: 0.8727, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3253, root_relative_squared_error: 1.0731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.8693, kappa: 0.2514, kb_relative_information_score: -303.7997, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8634, predictive_accuracy: 0.8765, prior_entropy: 0.478, recall: 0.8765, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3111, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.8713, kappa: 0.224, kb_relative_information_score: -293.913, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8626, predictive_accuracy: 0.8874, prior_entropy: 0.478, recall: 0.8874, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.863, kappa: 0.224, kb_relative_information_score: -318.6413, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8579, predictive_accuracy: 0.8688, prior_entropy: 0.478, recall: 0.8688, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.318, root_relative_squared_error: 1.0492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.8707, kappa: 0.228, kb_relative_information_score: -357.5792, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.862, predictive_accuracy: 0.8848, prior_entropy: 0.478, recall: 0.8848, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3071, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.8665, kappa: 0.2327, kb_relative_information_score: -278.7977, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8601, predictive_accuracy: 0.8746, prior_entropy: 0.478, recall: 0.8746, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3264, root_relative_squared_error: 1.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.8611, kappa: 0.1547, kb_relative_information_score: -411.1148, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8493, predictive_accuracy: 0.8804, prior_entropy: 0.478, recall: 0.8804, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.306, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.8693, kappa: 0.2231, kb_relative_information_score: -355.6082, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8606, predictive_accuracy: 0.8829, prior_entropy: 0.478, recall: 0.8829, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3108, root_relative_squared_error: 1.0253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.8697, kappa: 0.2211, kb_relative_information_score: -308.5186, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8608, predictive_accuracy: 0.8842, prior_entropy: 0.478, recall: 0.8842, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.8673, kappa: 0.2627, kb_relative_information_score: -10.8253, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8646, predictive_accuracy: 0.8701, prior_entropy: 0.478, recall: 0.8701, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.354, root_relative_squared_error: 1.1677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.8642, kappa: 0.2467, kb_relative_information_score: -229.5019, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8617, predictive_accuracy: 0.8669, prior_entropy: 0.478, recall: 0.8669, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3239, root_relative_squared_error: 1.0685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.8665, kappa: 0.2422, kb_relative_information_score: -218.3188, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8614, predictive_accuracy: 0.8727, prior_entropy: 0.478, recall: 0.8727, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3267, root_relative_squared_error: 1.0776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.8647, kappa: 0.2392, kb_relative_information_score: -266.6625, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8605, predictive_accuracy: 0.8695, prior_entropy: 0.478, recall: 0.8695, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3383, root_relative_squared_error: 1.1161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.8723, kappa: 0.2501, kb_relative_information_score: -274.0206, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8648, predictive_accuracy: 0.8836, prior_entropy: 0.478, recall: 0.8836, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3066, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.8607, kappa: 0.2103, kb_relative_information_score: -262.099, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8554, predictive_accuracy: 0.8669, prior_entropy: 0.478, recall: 0.8669, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3226, root_relative_squared_error: 1.0641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.8735, kappa: 0.2452, kb_relative_information_score: -345.6543, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8655, predictive_accuracy: 0.8874, prior_entropy: 0.478, recall: 0.8874, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.8612, kappa: 0.2246, kb_relative_information_score: -126.0505, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8577, predictive_accuracy: 0.865, prior_entropy: 0.478, recall: 0.865, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3561, root_relative_squared_error: 1.1749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.8694, kappa: 0.2267, kb_relative_information_score: -329.6516, mean_absolute_error: 0.151, 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: 0.8199, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.8704, kappa: 0.2369, kb_relative_information_score: -320.2095, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8624, predictive_accuracy: 0.8823, prior_entropy: 0.478, recall: 0.8823, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3091, root_relative_squared_error: 1.0197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.8621, kappa: 0.2243, kb_relative_information_score: -314.332, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8578, predictive_accuracy: 0.8669, prior_entropy: 0.478, recall: 0.8669, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3203, root_relative_squared_error: 1.0567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.8688, kappa: 0.2178, kb_relative_information_score: -393.2768, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8598, predictive_accuracy: 0.8829, prior_entropy: 0.478, recall: 0.8829, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3087, root_relative_squared_error: 1.0184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.8601, kappa: 0.2368, kb_relative_information_score: -177.2748, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8598, predictive_accuracy: 0.8605, prior_entropy: 0.478, recall: 0.8605, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.1143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.8695, kappa: 0.2302, kb_relative_information_score: -314.4411, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8612, predictive_accuracy: 0.8816, prior_entropy: 0.478, recall: 0.8816, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3126, root_relative_squared_error: 1.0313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.8656, kappa: 0.2715, kb_relative_information_score: -1.8284, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8661, predictive_accuracy: 0.865, prior_entropy: 0.478, recall: 0.865, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3607, root_relative_squared_error: 1.1901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.8713, kappa: 0.224, kb_relative_information_score: -312.9595, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8626, predictive_accuracy: 0.8874, prior_entropy: 0.478, recall: 0.8874, relative_absolute_error: 0.8205, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.8713, kappa: 0.224, kb_relative_information_score: -292.4834, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8626, predictive_accuracy: 0.8874, prior_entropy: 0.478, recall: 0.8874, relative_absolute_error: 0.8103, 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: 0.714, f_measure: 0.8599, kappa: 0.2075, kb_relative_information_score: -311.8365, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8548, predictive_accuracy: 0.8656, prior_entropy: 0.478, recall: 0.8656, relative_absolute_error: 0.8205, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3213, root_relative_squared_error: 1.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.8611, kappa: 0.1547, kb_relative_information_score: -414.0468, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8493, predictive_accuracy: 0.8804, prior_entropy: 0.478, recall: 0.8804, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.306, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.8697, kappa: 0.2468, kb_relative_information_score: -319.2594, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.863, predictive_accuracy: 0.8784, prior_entropy: 0.478, recall: 0.8784, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3109, root_relative_squared_error: 1.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.8643, kappa: 0.2219, kb_relative_information_score: -310.8747, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8579, predictive_accuracy: 0.872, prior_entropy: 0.478, recall: 0.872, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3299, root_relative_squared_error: 1.0882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.8638, kappa: 0.2204, kb_relative_information_score: -271.3956, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8576, predictive_accuracy: 0.8714, prior_entropy: 0.478, recall: 0.8714, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3192, root_relative_squared_error: 1.0529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.8702, kappa: 0.2264, kb_relative_information_score: -296.1851, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8615, predictive_accuracy: 0.8842, prior_entropy: 0.478, recall: 0.8842, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3141, root_relative_squared_error: 1.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.8721, kappa: 0.2366, kb_relative_information_score: -322.582, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8637, predictive_accuracy: 0.8861, prior_entropy: 0.478, recall: 0.8861, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3074, root_relative_squared_error: 1.0141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.8724, kappa: 0.2311, kb_relative_information_score: -304.0139, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8639, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.302, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.8704, kappa: 0.2334, kb_relative_information_score: -320.472, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8621, predictive_accuracy: 0.8829, prior_entropy: 0.478, recall: 0.8829, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3086, root_relative_squared_error: 1.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.8692, kappa: 0.2057, kb_relative_information_score: -385.4108, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8598, predictive_accuracy: 0.8868, prior_entropy: 0.478, recall: 0.8868, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.872, kappa: 0.233, kb_relative_information_score: -338.3506, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8635, predictive_accuracy: 0.8868, prior_entropy: 0.478, recall: 0.8868, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.8655, kappa: 0.1887, kb_relative_information_score: -350.6582, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8553, predictive_accuracy: 0.8823, prior_entropy: 0.478, recall: 0.8823, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3052, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.8712, kappa: 0.2202, kb_relative_information_score: -376.508, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8624, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.8618, kappa: 0.1608, kb_relative_information_score: -413.5703, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8503, predictive_accuracy: 0.8804, prior_entropy: 0.478, recall: 0.8804, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3057, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.8719, kappa: 0.2485, kb_relative_information_score: -304.2175, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8643, predictive_accuracy: 0.8829, prior_entropy: 0.478, recall: 0.8829, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.308, root_relative_squared_error: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.8628, kappa: 0.1682, kb_relative_information_score: -415.8184, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8517, predictive_accuracy: 0.881, prior_entropy: 0.478, recall: 0.881, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.8688, kappa: 0.2436, kb_relative_information_score: -258.291, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8623, predictive_accuracy: 0.8772, prior_entropy: 0.478, recall: 0.8772, relative_absolute_error: 0.7911, 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: 0.6493, f_measure: 0.8638, kappa: 0.2631, kb_relative_information_score: -79.7857, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8646, predictive_accuracy: 0.8631, prior_entropy: 0.478, recall: 0.8631, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3655, root_relative_squared_error: 1.2056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.8713, kappa: 0.2367, kb_relative_information_score: -358.5598, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.863, predictive_accuracy: 0.8842, prior_entropy: 0.478, recall: 0.8842, relative_absolute_error: 0.8204, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3082, root_relative_squared_error: 1.0168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.8704, kappa: 0.2334, kb_relative_information_score: -332.143, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8621, predictive_accuracy: 0.8829, prior_entropy: 0.478, recall: 0.8829, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3074, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.871, kappa: 0.2722, kb_relative_information_score: -170.066, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8667, predictive_accuracy: 0.8759, prior_entropy: 0.478, recall: 0.8759, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3212, root_relative_squared_error: 1.0596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, f_measure: 0.8742, kappa: 0.2569, kb_relative_information_score: -318.3879, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8666, predictive_accuracy: 0.8861, prior_entropy: 0.478, recall: 0.8861, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3085, root_relative_squared_error: 1.0178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.8654, kappa: 0.2595, kb_relative_information_score: -153.7797, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8639, predictive_accuracy: 0.8669, prior_entropy: 0.478, recall: 0.8669, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3308, root_relative_squared_error: 1.0913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.8689, kappa: 0.208, kb_relative_information_score: -319.3758, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8595, predictive_accuracy: 0.8855, prior_entropy: 0.478, recall: 0.8855, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.8653, kappa: 0.2622, kb_relative_information_score: -204.3827, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8644, predictive_accuracy: 0.8663, prior_entropy: 0.478, recall: 0.8663, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.346, root_relative_squared_error: 1.1415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.8673, kappa: 0.2093, kb_relative_information_score: -343.6048, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8581, predictive_accuracy: 0.8816, prior_entropy: 0.478, recall: 0.8816, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3117, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.8711, kappa: 0.2297, kb_relative_information_score: -343.4686, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8625, predictive_accuracy: 0.8855, prior_entropy: 0.478, recall: 0.8855, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3068, root_relative_squared_error: 1.0121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.8725, kappa: 0.2347, kb_relative_information_score: -285.1322, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.864, predictive_accuracy: 0.8874, prior_entropy: 0.478, recall: 0.8874, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.8622, kappa: 0.1623, kb_relative_information_score: -413.4983, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8508, predictive_accuracy: 0.881, prior_entropy: 0.478, recall: 0.881, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3057, root_relative_squared_error: 1.0084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.863, kappa: 0.2303, kb_relative_information_score: -280.796, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8589, predictive_accuracy: 0.8676, prior_entropy: 0.478, recall: 0.8676, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.323, root_relative_squared_error: 1.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.8647, kappa: 0.2481, kb_relative_information_score: -134.5498, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.862, predictive_accuracy: 0.8676, prior_entropy: 0.478, recall: 0.8676, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3598, root_relative_squared_error: 1.1871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.8713, kappa: 0.3067, kb_relative_information_score: 46.4172, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8726, predictive_accuracy: 0.8701, prior_entropy: 0.478, recall: 0.8701, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3587, root_relative_squared_error: 1.1834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8692, kappa: 0.2057, kb_relative_information_score: -370.6708, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8598, predictive_accuracy: 0.8868, prior_entropy: 0.478, recall: 0.8868, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3046, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.8688, kappa: 0.2588, kb_relative_information_score: -244.7861, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8643, predictive_accuracy: 0.874, prior_entropy: 0.478, recall: 0.874, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3221, root_relative_squared_error: 1.0625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.867, kappa: 0.2342, kb_relative_information_score: -291.555, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8604, predictive_accuracy: 0.8752, prior_entropy: 0.478, recall: 0.8752, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3253, root_relative_squared_error: 1.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.8639, kappa: 0.2332, kb_relative_information_score: -267.3161, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8595, predictive_accuracy: 0.8688, prior_entropy: 0.478, recall: 0.8688, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3238, root_relative_squared_error: 1.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.8656, kappa: 0.2296, kb_relative_information_score: -284.6748, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8594, predictive_accuracy: 0.8733, prior_entropy: 0.478, recall: 0.8733, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.321, root_relative_squared_error: 1.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.8636, kappa: 0.1891, kb_relative_information_score: -316.7431, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8538, predictive_accuracy: 0.8778, prior_entropy: 0.478, recall: 0.8778, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3211, root_relative_squared_error: 1.0592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.869, kappa: 0.2741, kb_relative_information_score: -209.2378, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8667, predictive_accuracy: 0.8714, prior_entropy: 0.478, recall: 0.8714, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.336, root_relative_squared_error: 1.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.8684, kappa: 0.2064, kb_relative_information_score: -337.4877, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8589, predictive_accuracy: 0.8848, prior_entropy: 0.478, recall: 0.8848, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3035, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, f_measure: 0.863, kappa: 0.1939, kb_relative_information_score: -312.6418, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.854, predictive_accuracy: 0.8752, prior_entropy: 0.478, recall: 0.8752, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3155, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.8722, kappa: 0.2435, kb_relative_information_score: -305.8286, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8642, predictive_accuracy: 0.8848, prior_entropy: 0.478, recall: 0.8848, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3101, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.8612, kappa: 0.215, kb_relative_information_score: -349.0621, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8562, predictive_accuracy: 0.8669, prior_entropy: 0.478, recall: 0.8669, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.8673, kappa: 0.2093, kb_relative_information_score: -354.6037, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8581, predictive_accuracy: 0.8816, prior_entropy: 0.478, recall: 0.8816, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3109, root_relative_squared_error: 1.0258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.8707, kappa: 0.228, kb_relative_information_score: -362.403, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.862, predictive_accuracy: 0.8848, prior_entropy: 0.478, recall: 0.8848, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.308, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.8698, kappa: 0.2247, kb_relative_information_score: -348.1261, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8611, predictive_accuracy: 0.8836, prior_entropy: 0.478, recall: 0.8836, relative_absolute_error: 0.8204, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.863, kappa: 0.224, kb_relative_information_score: -321.1923, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8579, predictive_accuracy: 0.8688, prior_entropy: 0.478, recall: 0.8688, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3191, root_relative_squared_error: 1.0527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.8652, kappa: 0.2437, kb_relative_information_score: -33.3613, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8613, predictive_accuracy: 0.8695, prior_entropy: 0.478, recall: 0.8695, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.353, root_relative_squared_error: 1.1644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.8707, kappa: 0.228, kb_relative_information_score: -350.6103, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.862, predictive_accuracy: 0.8848, prior_entropy: 0.478, recall: 0.8848, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3082, root_relative_squared_error: 1.0168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.8693, kappa: 0.2096, kb_relative_information_score: -379.7319, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.86, predictive_accuracy: 0.8861, prior_entropy: 0.478, recall: 0.8861, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3035, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.8738, kappa: 0.299, kb_relative_information_score: -10.8111, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8713, predictive_accuracy: 0.8765, prior_entropy: 0.478, recall: 0.8765, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3358, root_relative_squared_error: 1.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.8722, kappa: 0.2401, kb_relative_information_score: -333.3766, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.864, predictive_accuracy: 0.8855, prior_entropy: 0.478, recall: 0.8855, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3077, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.8674, kappa: 0.2542, kb_relative_information_score: -136.0625, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8633, predictive_accuracy: 0.872, prior_entropy: 0.478, recall: 0.872, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3433, root_relative_squared_error: 1.1325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.8661, kappa: 0.2467, kb_relative_information_score: -241.5736, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8619, predictive_accuracy: 0.8708, prior_entropy: 0.478, recall: 0.8708, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3282, root_relative_squared_error: 1.0825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.8645, kappa: 0.1814, kb_relative_information_score: -378.6079, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8539, predictive_accuracy: 0.8816, prior_entropy: 0.478, recall: 0.8816, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3047, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.875, kappa: 0.2571, kb_relative_information_score: -303.5271, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8674, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3039, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.863, kappa: 0.2272, kb_relative_information_score: -322.7053, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8584, predictive_accuracy: 0.8682, prior_entropy: 0.478, recall: 0.8682, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3223, root_relative_squared_error: 1.0634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.8642, kappa: 0.2151, kb_relative_information_score: -261.3423, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.857, predictive_accuracy: 0.8733, prior_entropy: 0.478, recall: 0.8733, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.8611, kappa: 0.1547, kb_relative_information_score: -417.2433, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8493, predictive_accuracy: 0.8804, prior_entropy: 0.478, recall: 0.8804, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3057, root_relative_squared_error: 1.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.8718, kappa: 0.2257, kb_relative_information_score: -306.9759, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8631, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.8599, kappa: 0.2075, kb_relative_information_score: -338.4628, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8548, predictive_accuracy: 0.8656, prior_entropy: 0.478, recall: 0.8656, relative_absolute_error: 0.8282, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.8713, kappa: 0.224, kb_relative_information_score: -290.6002, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8626, predictive_accuracy: 0.8874, prior_entropy: 0.478, recall: 0.8874, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.8665, kappa: 0.2294, kb_relative_information_score: -251.4348, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8596, predictive_accuracy: 0.8752, prior_entropy: 0.478, recall: 0.8752, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3177, root_relative_squared_error: 1.048,

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

OpenML bootcamp

From your own software

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

OpenML APIs