OpenML
Supervised Classification on mnist_784

Supervised Classification on mnist_784

Task 3573 Supervised Classification mnist_784 13143 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_123 study_41 study_99 under100k vision
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13143 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8616, kappa: 0.8464, kb_relative_information_score: 59461.184, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8616, predictive_accuracy: 0.8618, prior_entropy: 3.3198, recall: 0.8618, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8832, kappa: 0.8703, kb_relative_information_score: 61656.4284, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8832, predictive_accuracy: 0.8833, prior_entropy: 3.3198, recall: 0.8833, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.4571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8639, kappa: 0.8489, kb_relative_information_score: 59668.5992, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8638, predictive_accuracy: 0.864, prior_entropy: 3.3198, recall: 0.864, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8765, kappa: 0.8628, kb_relative_information_score: 60870.0002, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8764, predictive_accuracy: 0.8766, prior_entropy: 3.3198, recall: 0.8766, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.4572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.877, kappa: 0.8635, kb_relative_information_score: 61287.1403, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.877, predictive_accuracy: 0.8772, prior_entropy: 3.3198, recall: 0.8772, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8747, kappa: 0.8608, kb_relative_information_score: 60759.8567, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8746, predictive_accuracy: 0.8748, prior_entropy: 3.3198, recall: 0.8748, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8771, kappa: 0.8637, kb_relative_information_score: 61311.6098, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8771, predictive_accuracy: 0.8774, prior_entropy: 3.3198, recall: 0.8774, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.4852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8834, kappa: 0.8705, kb_relative_information_score: 61679.5398, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8834, predictive_accuracy: 0.8835, prior_entropy: 3.3198, recall: 0.8835, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8756, kappa: 0.8619, kb_relative_information_score: 60990.3108, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8755, predictive_accuracy: 0.8757, prior_entropy: 3.3198, recall: 0.8757, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8749, kappa: 0.8611, kb_relative_information_score: 60778.143, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8749, predictive_accuracy: 0.875, prior_entropy: 3.3198, recall: 0.875, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8814, kappa: 0.8682, kb_relative_information_score: 61517.0421, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8814, predictive_accuracy: 0.8814, prior_entropy: 3.3198, recall: 0.8814, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.138, root_relative_squared_error: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8734, kappa: 0.8594, kb_relative_information_score: 60565.2697, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8734, predictive_accuracy: 0.8735, prior_entropy: 3.3198, recall: 0.8735, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8616, kappa: 0.8463, kb_relative_information_score: 59461.5233, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8616, predictive_accuracy: 0.8618, prior_entropy: 3.3198, recall: 0.8618, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.8792, kappa: 0.8659, kb_relative_information_score: 61147.0211, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8792, predictive_accuracy: 0.8793, prior_entropy: 3.3198, recall: 0.8793, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8843, kappa: 0.8715, kb_relative_information_score: 61774.2139, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8843, predictive_accuracy: 0.8844, prior_entropy: 3.3198, recall: 0.8844, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8654, kappa: 0.8506, kb_relative_information_score: 59886.4375, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8653, predictive_accuracy: 0.8656, prior_entropy: 3.3198, recall: 0.8656, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.4691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8733, kappa: 0.8594, kb_relative_information_score: 60653.7453, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8733, predictive_accuracy: 0.8735, prior_entropy: 3.3198, recall: 0.8735, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.14, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8825, kappa: 0.8696, kb_relative_information_score: 61645.2888, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8825, predictive_accuracy: 0.8827, prior_entropy: 3.3198, recall: 0.8827, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.4823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8804, kappa: 0.8672, kb_relative_information_score: 61510.9798, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8804, predictive_accuracy: 0.8805, prior_entropy: 3.3198, recall: 0.8805, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.4637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8766, kappa: 0.8631, kb_relative_information_score: 61141.7579, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8765, predictive_accuracy: 0.8768, prior_entropy: 3.3198, recall: 0.8768, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.4679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8748, kappa: 0.861, kb_relative_information_score: 60838.9599, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8748, predictive_accuracy: 0.8749, prior_entropy: 3.3198, recall: 0.8749, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8764, kappa: 0.8627, kb_relative_information_score: 60867.4764, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8763, predictive_accuracy: 0.8765, prior_entropy: 3.3198, recall: 0.8765, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8653, kappa: 0.8505, kb_relative_information_score: 59879.5845, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8653, predictive_accuracy: 0.8655, prior_entropy: 3.3198, recall: 0.8655, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8757, kappa: 0.862, kb_relative_information_score: 61088.7722, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8756, predictive_accuracy: 0.8759, prior_entropy: 3.3198, recall: 0.8759, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8834, kappa: 0.8706, kb_relative_information_score: 61682.6673, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8833, predictive_accuracy: 0.8836, prior_entropy: 3.3198, recall: 0.8836, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8725, kappa: 0.8584, kb_relative_information_score: 60920.833, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8725, predictive_accuracy: 0.8726, prior_entropy: 3.3198, recall: 0.8726, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.881, kappa: 0.8678, kb_relative_information_score: 61592.8923, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8809, predictive_accuracy: 0.8811, prior_entropy: 3.3198, recall: 0.8811, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8809, kappa: 0.8677, kb_relative_information_score: 61573.8361, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8809, predictive_accuracy: 0.881, prior_entropy: 3.3198, recall: 0.881, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.875, kappa: 0.8612, kb_relative_information_score: 60782.8493, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8749, predictive_accuracy: 0.8751, prior_entropy: 3.3198, recall: 0.8751, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.882, kappa: 0.8688, kb_relative_information_score: 61461.0445, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 3.3198, recall: 0.882, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8737, kappa: 0.8599, kb_relative_information_score: 60918.8432, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8736, predictive_accuracy: 0.8739, prior_entropy: 3.3198, recall: 0.8739, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8648, kappa: 0.85, kb_relative_information_score: 59801.2305, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8648, predictive_accuracy: 0.865, prior_entropy: 3.3198, recall: 0.865, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8763, kappa: 0.8626, kb_relative_information_score: 60866.8269, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8763, predictive_accuracy: 0.8764, prior_entropy: 3.3198, recall: 0.8764, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8752, kappa: 0.8614, kb_relative_information_score: 60953.6329, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8751, predictive_accuracy: 0.8753, prior_entropy: 3.3198, recall: 0.8753, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8751, kappa: 0.8613, kb_relative_information_score: 60835.7163, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.875, predictive_accuracy: 0.8752, prior_entropy: 3.3198, recall: 0.8752, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8842, kappa: 0.8714, kb_relative_information_score: 61776.3276, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8842, predictive_accuracy: 0.8843, prior_entropy: 3.3198, recall: 0.8843, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.4631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8822, kappa: 0.8692, kb_relative_information_score: 61642.1227, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8822, predictive_accuracy: 0.8823, prior_entropy: 3.3198, recall: 0.8823, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8712, kappa: 0.857, kb_relative_information_score: 60417.9299, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8711, predictive_accuracy: 0.8714, prior_entropy: 3.3198, recall: 0.8714, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8626, kappa: 0.8475, kb_relative_information_score: 59567.6172, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8626, predictive_accuracy: 0.8628, prior_entropy: 3.3198, recall: 0.8628, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8737, kappa: 0.8598, kb_relative_information_score: 60713.3495, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8737, predictive_accuracy: 0.8739, prior_entropy: 3.3198, recall: 0.8739, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.8775, kappa: 0.864, kb_relative_information_score: 60982.361, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8775, predictive_accuracy: 0.8776, prior_entropy: 3.3198, recall: 0.8776, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8709, kappa: 0.8567, kb_relative_information_score: 60414.9678, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8708, predictive_accuracy: 0.8711, prior_entropy: 3.3198, recall: 0.8711, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8834, kappa: 0.8705, kb_relative_information_score: 61650.3792, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8833, predictive_accuracy: 0.8835, prior_entropy: 3.3198, recall: 0.8835, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.4609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8768, kappa: 0.8633, kb_relative_information_score: 61295.0563, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8767, predictive_accuracy: 0.877, prior_entropy: 3.3198, recall: 0.877, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.4769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8738, kappa: 0.8599, kb_relative_information_score: 60691.583, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8737, predictive_accuracy: 0.8739, prior_entropy: 3.3198, recall: 0.8739, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8814, kappa: 0.8683, kb_relative_information_score: 61442.0477, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8814, predictive_accuracy: 0.8815, prior_entropy: 3.3198, recall: 0.8815, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.871, kappa: 0.8567, kb_relative_information_score: 60351.8536, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.871, predictive_accuracy: 0.8711, prior_entropy: 3.3198, recall: 0.8711, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.4622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8834, kappa: 0.8706, kb_relative_information_score: 61498.3321, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8833, predictive_accuracy: 0.8835, prior_entropy: 3.3198, recall: 0.8835, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.5027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8697, kappa: 0.8553, kb_relative_information_score: 60253.2883, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8697, predictive_accuracy: 0.8698, prior_entropy: 3.3198, recall: 0.8698, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.4629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8753, kappa: 0.8615, kb_relative_information_score: 60859.3084, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8752, predictive_accuracy: 0.8754, prior_entropy: 3.3198, recall: 0.8754, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.4651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8649, kappa: 0.8501, kb_relative_information_score: 59821.0764, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8649, predictive_accuracy: 0.8651, prior_entropy: 3.3198, recall: 0.8651, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8823, kappa: 0.8694, kb_relative_information_score: 61745.4994, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8823, predictive_accuracy: 0.8825, prior_entropy: 3.3198, recall: 0.8825, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8723, kappa: 0.8582, kb_relative_information_score: 60558.5456, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8722, predictive_accuracy: 0.8724, prior_entropy: 3.3198, recall: 0.8724, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8826, kappa: 0.8696, kb_relative_information_score: 61671.2752, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8826, predictive_accuracy: 0.8827, prior_entropy: 3.3198, recall: 0.8827, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.138, root_relative_squared_error: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.865, kappa: 0.8502, kb_relative_information_score: 59803.3538, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.865, predictive_accuracy: 0.8652, prior_entropy: 3.3198, recall: 0.8652, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.4696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8752, kappa: 0.8614, kb_relative_information_score: 60792.0035, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8751, predictive_accuracy: 0.8753, prior_entropy: 3.3198, recall: 0.8753, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.4571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.884, kappa: 0.8712, kb_relative_information_score: 61740.0851, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.884, predictive_accuracy: 0.8841, prior_entropy: 3.3198, recall: 0.8841, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8617, kappa: 0.8465, kb_relative_information_score: 59470.2689, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8617, predictive_accuracy: 0.8619, prior_entropy: 3.3198, recall: 0.8619, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8767, kappa: 0.8632, kb_relative_information_score: 61216.7051, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8766, predictive_accuracy: 0.8769, prior_entropy: 3.3198, recall: 0.8769, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8734, kappa: 0.8593, kb_relative_information_score: 60569.2764, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8733, predictive_accuracy: 0.8734, prior_entropy: 3.3198, recall: 0.8734, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.874, kappa: 0.8601, kb_relative_information_score: 60656.9464, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.874, predictive_accuracy: 0.8741, prior_entropy: 3.3198, recall: 0.8741, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8648, kappa: 0.85, kb_relative_information_score: 59811.1036, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8648, predictive_accuracy: 0.865, prior_entropy: 3.3198, recall: 0.865, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.4697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8828, kappa: 0.8699, kb_relative_information_score: 61725.8431, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8828, predictive_accuracy: 0.8829, prior_entropy: 3.3198, recall: 0.8829, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8809, kappa: 0.8677, kb_relative_information_score: 61434.4686, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8808, predictive_accuracy: 0.8809, prior_entropy: 3.3198, recall: 0.8809, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8737, kappa: 0.8597, kb_relative_information_score: 60685.5759, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8736, predictive_accuracy: 0.8738, prior_entropy: 3.3198, recall: 0.8738, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8777, kappa: 0.8641, kb_relative_information_score: 61035.3176, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8776, predictive_accuracy: 0.8778, prior_entropy: 3.3198, recall: 0.8778, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.4572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8776, kappa: 0.8641, kb_relative_information_score: 61377.7521, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8775, predictive_accuracy: 0.8778, prior_entropy: 3.3198, recall: 0.8778, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.4831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.88, kappa: 0.8667, kb_relative_information_score: 61498.7598, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.88, predictive_accuracy: 0.8801, prior_entropy: 3.3198, recall: 0.8801, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.4641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8738, kappa: 0.8599, kb_relative_information_score: 60701.7223, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8737, predictive_accuracy: 0.8739, prior_entropy: 3.3198, recall: 0.8739, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.883, kappa: 0.8701, kb_relative_information_score: 61666.6205, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.883, predictive_accuracy: 0.8831, prior_entropy: 3.3198, recall: 0.8831, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.4605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8735, kappa: 0.8595, kb_relative_information_score: 60685.798, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8734, predictive_accuracy: 0.8736, prior_entropy: 3.3198, recall: 0.8736, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8768, kappa: 0.8633, kb_relative_information_score: 61349.2723, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8768, predictive_accuracy: 0.8771, prior_entropy: 3.3198, recall: 0.8771, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.8831, kappa: 0.8701, kb_relative_information_score: 61648.5684, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8831, predictive_accuracy: 0.8832, prior_entropy: 3.3198, recall: 0.8832, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.4609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8773, kappa: 0.8638, kb_relative_information_score: 60974.453, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8773, predictive_accuracy: 0.8774, prior_entropy: 3.3198, recall: 0.8774, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8753, kappa: 0.8616, kb_relative_information_score: 60978.7475, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8753, predictive_accuracy: 0.8755, prior_entropy: 3.3198, recall: 0.8755, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8737, kappa: 0.8597, kb_relative_information_score: 60586.9844, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8737, predictive_accuracy: 0.8738, prior_entropy: 3.3198, recall: 0.8738, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8812, kappa: 0.8681, kb_relative_information_score: 61373.7738, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8812, predictive_accuracy: 0.8813, prior_entropy: 3.3198, recall: 0.8813, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.8795, kappa: 0.8662, kb_relative_information_score: 61147.9844, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8794, predictive_accuracy: 0.8796, prior_entropy: 3.3198, recall: 0.8796, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.4563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8751, kappa: 0.8613, kb_relative_information_score: 60811.8798, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.875, predictive_accuracy: 0.8752, prior_entropy: 3.3198, recall: 0.8752, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8829, kappa: 0.8699, kb_relative_information_score: 61696.7897, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8828, predictive_accuracy: 0.883, prior_entropy: 3.3198, recall: 0.883, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8699, kappa: 0.8555, kb_relative_information_score: 60259.1231, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 3.3198, recall: 0.87, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8817, kappa: 0.8687, kb_relative_information_score: 61729.5334, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8817, predictive_accuracy: 0.8819, prior_entropy: 3.3198, recall: 0.8819, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8686, kappa: 0.8541, kb_relative_information_score: 60186.9532, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8685, predictive_accuracy: 0.8687, prior_entropy: 3.3198, recall: 0.8687, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8691, kappa: 0.8547, kb_relative_information_score: 60278.4782, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.869, predictive_accuracy: 0.8693, prior_entropy: 3.3198, recall: 0.8693, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8763, kappa: 0.8626, kb_relative_information_score: 60867.9894, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8763, predictive_accuracy: 0.8764, prior_entropy: 3.3198, recall: 0.8764, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8825, kappa: 0.8696, kb_relative_information_score: 61492.8304, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8824, predictive_accuracy: 0.8827, prior_entropy: 3.3198, recall: 0.8827, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.4993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8748, kappa: 0.8609, kb_relative_information_score: 60761.8448, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8747, predictive_accuracy: 0.8749, prior_entropy: 3.3198, recall: 0.8749, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8734, kappa: 0.8594, kb_relative_information_score: 60571.0001, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8734, predictive_accuracy: 0.8735, prior_entropy: 3.3198, recall: 0.8735, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8742, kappa: 0.8602, kb_relative_information_score: 60666.4656, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8741, predictive_accuracy: 0.8743, prior_entropy: 3.3198, recall: 0.8743, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.8628, kappa: 0.8477, kb_relative_information_score: 59584.2169, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8628, predictive_accuracy: 0.8629, prior_entropy: 3.3198, recall: 0.8629, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8687, kappa: 0.8542, kb_relative_information_score: 60218.833, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8686, predictive_accuracy: 0.8688, prior_entropy: 3.3198, recall: 0.8688, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8752, kappa: 0.8614, kb_relative_information_score: 60789.789, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8751, predictive_accuracy: 0.8753, prior_entropy: 3.3198, recall: 0.8753, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.882, kappa: 0.8691, kb_relative_information_score: 61711.5775, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.882, predictive_accuracy: 0.8823, prior_entropy: 3.3198, recall: 0.8823, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.871, kappa: 0.8566, kb_relative_information_score: 60343.3767, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 3.3198, recall: 0.871, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8833, kappa: 0.8704, kb_relative_information_score: 61640.0726, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8833, predictive_accuracy: 0.8834, prior_entropy: 3.3198, recall: 0.8834, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.4613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8618, kappa: 0.8465, kb_relative_information_score: 59463.4838, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8617, predictive_accuracy: 0.8619, prior_entropy: 3.3198, recall: 0.8619, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.4742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8778, kappa: 0.8643, kb_relative_information_score: 60976.1414, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8778, predictive_accuracy: 0.8779, prior_entropy: 3.3198, recall: 0.8779, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8768, kappa: 0.8632, kb_relative_information_score: 61014.1933, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8767, predictive_accuracy: 0.8769, prior_entropy: 3.3198, recall: 0.8769, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.8695, kappa: 0.8551, kb_relative_information_score: 60287.8081, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8694, predictive_accuracy: 0.8696, prior_entropy: 3.3198, recall: 0.8696, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.4677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8763, kappa: 0.8627, kb_relative_information_score: 61226.6684, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8762, predictive_accuracy: 0.8765, prior_entropy: 3.3198, recall: 0.8765, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4748,

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