OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 19119 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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19119 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.7977, kappa: 0.7694, kb_relative_information_score: 1479.7007, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8087, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.7981, kappa: 0.7767, kb_relative_information_score: 1603.2774, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7993, predictive_accuracy: 0.799, prior_entropy: 3.3219, recall: 0.799, relative_absolute_error: 0.302, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.5288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8508, kappa: 0.8339, kb_relative_information_score: 1657.3778, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8517, predictive_accuracy: 0.8505, prior_entropy: 3.3219, recall: 0.8505, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.7758, kappa: 0.7756, kb_relative_information_score: 1573.7144, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7931, predictive_accuracy: 0.798, prior_entropy: 3.3219, recall: 0.798, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.163, root_relative_squared_error: 0.5432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kappa: 0.0006, kb_relative_information_score: 3.6978, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.8006, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8444, kappa: 0.8272, kb_relative_information_score: 1608.3521, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8449, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.5077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.079, kappa: -0.1067, kb_relative_information_score: 7.4009, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.004, prior_entropy: 3.3219, recall: 0.004, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8451, kappa: 0.8283, kb_relative_information_score: 1680.5035, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.845, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.7993, kappa: 0.7789, kb_relative_information_score: 1462.871, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7995, predictive_accuracy: 0.801, prior_entropy: 3.3219, recall: 0.801, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.8416, kappa: 0.8244, kb_relative_information_score: 1679.7614, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8416, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.4837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.7303, kappa: 0.7017, kb_relative_information_score: 1290.916, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.736, predictive_accuracy: 0.7315, prior_entropy: 3.3219, recall: 0.7315, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.6689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8162, kappa: 0.7956, kb_relative_information_score: 1553.629, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8176, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.5387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8402, kappa: 0.8222, kb_relative_information_score: 1620.6286, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8408, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8347, kappa: 0.8161, kb_relative_information_score: 1601.2805, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8351, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8288, kappa: 0.8094, kb_relative_information_score: 44.2661, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8314, predictive_accuracy: 0.8285, prior_entropy: 3.3219, recall: 0.8285, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8085, kappa: 0.7883, kb_relative_information_score: 1627.2627, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8085, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.5164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8394, kappa: 0.8217, kb_relative_information_score: 1579.1369, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8401, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.5223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.7933, kappa: 0.7706, kb_relative_information_score: 1513.2943, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7948, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.8523, kappa: 0.8356, kb_relative_information_score: 1658.5191, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8534, predictive_accuracy: 0.852, prior_entropy: 3.3219, recall: 0.852, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.7462, kappa: 0.7222, kb_relative_information_score: 42.6827, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7522, predictive_accuracy: 0.75, prior_entropy: 3.3219, recall: 0.75, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, kb_relative_information_score: 16.2165, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8245, kappa: 0.805, kb_relative_information_score: 1619.7204, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8255, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.5227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.7625, kappa: 0.735, kb_relative_information_score: 1459.9809, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7682, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8405, kappa: 0.8228, kb_relative_information_score: 58.3551, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.841, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.6905, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8117, kappa: 0.7911, kb_relative_information_score: 1512.3585, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8128, predictive_accuracy: 0.812, prior_entropy: 3.3219, recall: 0.812, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, kappa: 0.0678, kb_relative_information_score: 5.8708, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.161, prior_entropy: 3.3219, recall: 0.161, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7387, kappa: 0.7083, kb_relative_information_score: 1450.9773, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7404, predictive_accuracy: 0.7375, prior_entropy: 3.3219, recall: 0.7375, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8187, kappa: 0.7956, kb_relative_information_score: 1645.9749, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8245, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.5816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8245, kappa: 0.805, kb_relative_information_score: 1578.1735, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8256, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.5296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8412, kappa: 0.8228, kb_relative_information_score: 37.1643, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8431, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8026, kappa: 0.7811, kb_relative_information_score: 1536.7823, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.804, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.3696, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.5545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.7995, kappa: 0.7767, kb_relative_information_score: 1535.4691, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8018, predictive_accuracy: 0.799, prior_entropy: 3.3219, recall: 0.799, relative_absolute_error: 0.3607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.167, root_relative_squared_error: 0.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, kappa: 0.0006, kb_relative_information_score: 2.4375, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.799, kappa: 0.7761, kb_relative_information_score: 1519.3635, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8018, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.3797, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8118, kappa: 0.7911, kb_relative_information_score: 1645.956, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8123, predictive_accuracy: 0.812, prior_entropy: 3.3219, recall: 0.812, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8208, kappa: 0.7967, kb_relative_information_score: 1642.5875, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8287, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.5539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8048, kappa: 0.7844, kb_relative_information_score: 1512.0796, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8057, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.7865, kappa: 0.7639, kb_relative_information_score: 1519.2152, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7887, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8363, kappa: 0.8178, kb_relative_information_score: 1621.8725, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8368, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8347, kappa: 0.8156, kb_relative_information_score: 1624.4222, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.5663, kappa: 0.5606, kb_relative_information_score: 252.4968, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6968, predictive_accuracy: 0.6045, prior_entropy: 3.3219, recall: 0.6045, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.9624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8429, kappa: 0.8256, kb_relative_information_score: 55.1881, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8436, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.7448, kappa: 0.7056, kb_relative_information_score: 1264.5473, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7693, predictive_accuracy: 0.735, prior_entropy: 3.3219, recall: 0.735, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.6859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8105, kappa: 0.79, kb_relative_information_score: 1496.7781, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8375, kappa: 0.8189, kb_relative_information_score: 1627.602, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8384, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8077, kappa: 0.7856, kb_relative_information_score: 1573.6016, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8104, predictive_accuracy: 0.807, prior_entropy: 3.3219, recall: 0.807, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.7668, kappa: 0.7444, kb_relative_information_score: 1558.0774, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7658, predictive_accuracy: 0.77, prior_entropy: 3.3219, recall: 0.77, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.7756, kappa: 0.7511, kb_relative_information_score: 1482.777, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7771, predictive_accuracy: 0.776, prior_entropy: 3.3219, recall: 0.776, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.7663, kappa: 0.7417, kb_relative_information_score: 1534.7962, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7676, predictive_accuracy: 0.7675, prior_entropy: 3.3219, recall: 0.7675, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8282, kappa: 0.81, kb_relative_information_score: 1588.385, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8283, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8272, kappa: 0.8061, kb_relative_information_score: 21.6668, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8296, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8522, kappa: 0.8356, kb_relative_information_score: 1665.6246, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8529, predictive_accuracy: 0.852, prior_entropy: 3.3219, recall: 0.852, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.145, root_relative_squared_error: 0.4834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.7737, kappa: 0.7661, kb_relative_information_score: 1602.9729, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7886, predictive_accuracy: 0.7895, prior_entropy: 3.3219, recall: 0.7895, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.5655, kappa: 0.5133, kb_relative_information_score: 629.7482, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6029, predictive_accuracy: 0.562, prior_entropy: 3.3219, recall: 0.562, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.8557, kappa: 0.8394, kb_relative_information_score: 1727.8164, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8563, predictive_accuracy: 0.8555, prior_entropy: 3.3219, recall: 0.8555, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.4511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8308, kappa: 0.8128, kb_relative_information_score: 1517.6772, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.831, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8419, kappa: 0.8244, kb_relative_information_score: 1646.5154, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8423, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.4977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8221, kappa: 0.7994, kb_relative_information_score: 1645.7307, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8254, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.5805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, kappa: 0.0006, kb_relative_information_score: 20.8989, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8211, kappa: 0.8017, kb_relative_information_score: 1510.8874, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8218, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.167, root_relative_squared_error: 0.5565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7388, kappa: 0.71, kb_relative_information_score: 1454.1146, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7503, predictive_accuracy: 0.739, prior_entropy: 3.3219, recall: 0.739, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.7616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5228, f_measure: 0.1154, kappa: 0.0456, kb_relative_information_score: 203.3886, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6859, predictive_accuracy: 0.141, prior_entropy: 3.3219, recall: 0.141, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4145, root_relative_squared_error: 1.3816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.4494, kappa: 0.4022, kb_relative_information_score: 509.0069, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5273, predictive_accuracy: 0.462, prior_entropy: 3.3219, recall: 0.462, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.81, kappa: 0.7889, kb_relative_information_score: 1514.7087, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8115, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.7454, kappa: 0.7206, kb_relative_information_score: 6.6449, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7642, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.7923, kappa: 0.7689, kb_relative_information_score: 1538.2824, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7943, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.3515, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8275, kappa: 0.8072, kb_relative_information_score: 1676.7034, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8296, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 2.9878, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.805, kappa: 0.785, kb_relative_information_score: 1638.4241, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8052, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8232, kappa: 0.8033, kb_relative_information_score: 1665.2936, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8239, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.4938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.7701, kappa: 0.735, kb_relative_information_score: 1506.2469, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.798, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8021, kappa: 0.7811, kb_relative_information_score: 1599.4275, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8021, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.2902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5258, kappa: 0.0517, kb_relative_information_score: 214.892, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1465, prior_entropy: 3.3219, recall: 0.1465, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4132, root_relative_squared_error: 1.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0505, kb_relative_information_score: 9.7039, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.5135, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.7815, kappa: 0.7589, kb_relative_information_score: 1561.8825, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.782, predictive_accuracy: 0.783, prior_entropy: 3.3219, recall: 0.783, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, kappa: 0.2967, kb_relative_information_score: 366.7459, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.367, prior_entropy: 3.3219, recall: 0.367, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.9412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.8123, kappa: 0.7889, kb_relative_information_score: 1628.0401, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8161, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.6045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, kappa: 0.1689, kb_relative_information_score: 152.6979, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.252, prior_entropy: 3.3219, recall: 0.252, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, kappa: 0.3278, kb_relative_information_score: 15.2384, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.395, prior_entropy: 3.3219, recall: 0.395, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7643, kappa: 0.74, kb_relative_information_score: 7.4676, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7759, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8186, kappa: 0.7989, kb_relative_information_score: 1668.8245, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8193, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8002, kappa: 0.7778, kb_relative_information_score: 1512.1037, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8024, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.169, root_relative_squared_error: 0.5634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8345, kappa: 0.8167, kb_relative_information_score: 1653.6103, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8346, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8237, kappa: 0.8039, kb_relative_information_score: 1564.225, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8255, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.5329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.7454, kappa: 0.7394, kb_relative_information_score: 1321.7593, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7655, prior_entropy: 3.3219, recall: 0.7655, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.6556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.655, kappa: 0.6394, kb_relative_information_score: 793.1344, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.672, predictive_accuracy: 0.6755, prior_entropy: 3.3219, recall: 0.6755, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8387, kappa: 0.8211, kb_relative_information_score: 1646.985, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8388, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.4989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8363, kappa: 0.8178, kb_relative_information_score: 1604.0938, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8368, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.5191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.8454, kappa: 0.8289, kb_relative_information_score: 1681.4739, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8453, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, kb_relative_information_score: 11.4884, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.8748, kappa: 0.8606, kb_relative_information_score: 1722.8117, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8753, predictive_accuracy: 0.8745, prior_entropy: 3.3219, recall: 0.8745, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.304, kappa: 0.2989, kb_relative_information_score: 370.9745, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3844, predictive_accuracy: 0.369, prior_entropy: 3.3219, recall: 0.369, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8383, kappa: 0.8194, kb_relative_information_score: 36.359, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8406, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8129, kappa: 0.7928, kb_relative_information_score: 1593.5221, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8132, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.82, kappa: 0.8011, kb_relative_information_score: 1626.9909, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8201, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.5042, kappa: 0.4344, kb_relative_information_score: 660.3432, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6016, predictive_accuracy: 0.491, prior_entropy: 3.3219, recall: 0.491, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.8778,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs