Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 17124 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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17124 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.763, kappa: 0.7444, kb_relative_information_score: 836.8243, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.763, predictive_accuracy: 0.77, prior_entropy: 3.3219, recall: 0.77, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.8136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8065, kappa: 0.7844, kb_relative_information_score: 1567.9717, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8085, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.824, kappa: 0.8061, kb_relative_information_score: 1453.6885, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8244, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8235, kappa: 0.805, kb_relative_information_score: 1490.9203, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8239, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8089, kappa: 0.7883, kb_relative_information_score: 1530.8072, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.5553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8324, kappa: 0.8144, kb_relative_information_score: 1592.9736, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8326, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8113, kappa: 0.7922, kb_relative_information_score: 1559.1141, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8111, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.5453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8178, kappa: 0.7989, kb_relative_information_score: 1555.4349, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8178, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.5438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.7867, kappa: 0.765, kb_relative_information_score: 1568.8865, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7864, predictive_accuracy: 0.7885, prior_entropy: 3.3219, recall: 0.7885, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.5626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.7697, kappa: 0.7467, kb_relative_information_score: 1534.1107, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7708, predictive_accuracy: 0.772, prior_entropy: 3.3219, recall: 0.772, relative_absolute_error: 0.3517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.832, kappa: 0.8139, kb_relative_information_score: 1616.9951, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8323, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.5174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8143, kappa: 0.7967, kb_relative_information_score: 1309.3921, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8136, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.5454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8333, kappa: 0.8161, kb_relative_information_score: 1465.0337, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8334, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8156, kappa: 0.7956, kb_relative_information_score: 1557.5039, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8172, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8163, kappa: 0.7972, kb_relative_information_score: 1522.2857, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8164, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.5525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.8347, kappa: 0.8161, kb_relative_information_score: 1572.8899, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8356, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.3521, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8208, kappa: 0.8028, kb_relative_information_score: 1543.0547, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8202, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.3716, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8171, kappa: 0.8, kb_relative_information_score: 1284.998, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8167, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8121, kappa: 0.7906, kb_relative_information_score: 1581.382, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8146, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.7985, kappa: 0.7761, kb_relative_information_score: 1497.4471, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8008, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.17, root_relative_squared_error: 0.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8296, kappa: 0.8111, kb_relative_information_score: 1581.6177, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8303, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.5251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8379, kappa: 0.82, kb_relative_information_score: 1570.3905, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8389, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8098, kappa: 0.79, kb_relative_information_score: 1521.0125, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8103, kappa: 0.7906, kb_relative_information_score: 1587.5268, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8105, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.16, root_relative_squared_error: 0.5334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8299, kappa: 0.8117, kb_relative_information_score: 1549.2404, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8305, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.5383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8113, kappa: 0.7906, kb_relative_information_score: 1502.7305, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8124, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8146, kappa: 0.7939, kb_relative_information_score: 1572.3354, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.7953, kappa: 0.7722, kb_relative_information_score: 1592.5983, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7964, predictive_accuracy: 0.795, prior_entropy: 3.3219, recall: 0.795, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8072, kappa: 0.7861, kb_relative_information_score: 1518.0505, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8088, predictive_accuracy: 0.8075, prior_entropy: 3.3219, recall: 0.8075, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.5591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8081, kappa: 0.7883, kb_relative_information_score: 1565.7343, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8078, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.5423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.7989, kappa: 0.7778, kb_relative_information_score: 1566.4807, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7993, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.7991, kappa: 0.7767, kb_relative_information_score: 1510.5512, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.801, predictive_accuracy: 0.799, prior_entropy: 3.3219, recall: 0.799, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.7688, kappa: 0.7428, kb_relative_information_score: 1521.0037, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7713, predictive_accuracy: 0.7685, prior_entropy: 3.3219, recall: 0.7685, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.6041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.826, kappa: 0.8078, kb_relative_information_score: 1474.5226, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8263, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.5657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8434, kappa: 0.8267, kb_relative_information_score: 1575.0202, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.5209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8214, kappa: 0.8028, kb_relative_information_score: 1458.5295, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8214, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8174, kappa: 0.7972, kb_relative_information_score: 1601.7604, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8182, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.3183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.7874, kappa: 0.7656, kb_relative_information_score: 1454.6537, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7877, predictive_accuracy: 0.789, prior_entropy: 3.3219, recall: 0.789, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.808, kappa: 0.7867, kb_relative_information_score: 1559.9382, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8098, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.7401, kappa: 0.7106, kb_relative_information_score: 1477.3722, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7435, predictive_accuracy: 0.7395, prior_entropy: 3.3219, recall: 0.7395, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8129, kappa: 0.7933, kb_relative_information_score: 1516.9115, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8131, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8298, kappa: 0.8111, kb_relative_information_score: 1616.6687, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.158, root_relative_squared_error: 0.5268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8083, kappa: 0.7878, kb_relative_information_score: 1539.4127, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8095, predictive_accuracy: 0.809, prior_entropy: 3.3219, recall: 0.809, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.5525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.7499, kappa: 0.725, kb_relative_information_score: 1506.4962, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7502, predictive_accuracy: 0.7525, prior_entropy: 3.3219, recall: 0.7525, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.816, kappa: 0.7956, kb_relative_information_score: 1592.4664, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8174, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.5314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8132, kappa: 0.7928, kb_relative_information_score: 1578.7303, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.814, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.7968, kappa: 0.7744, kb_relative_information_score: 1509.6691, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7982, predictive_accuracy: 0.797, prior_entropy: 3.3219, recall: 0.797, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.7745, kappa: 0.7483, kb_relative_information_score: 1518.056, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7777, predictive_accuracy: 0.7735, prior_entropy: 3.3219, recall: 0.7735, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.7823, kappa: 0.76, kb_relative_information_score: 1461.3564, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7833, predictive_accuracy: 0.784, prior_entropy: 3.3219, recall: 0.784, relative_absolute_error: 0.4277, 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: 0.9608, f_measure: 0.7625, kappa: 0.7439, kb_relative_information_score: 842.7295, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7609, predictive_accuracy: 0.7695, prior_entropy: 3.3219, recall: 0.7695, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.8121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8275, kappa: 0.8089, kb_relative_information_score: 1546.4556, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.5379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8267, kappa: 0.8083, kb_relative_information_score: 1488.9111, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8268, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8222, kappa: 0.8033, kb_relative_information_score: 1630.6129, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8219, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.2812, 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: 0.9817, f_measure: 0.8189, kappa: 0.8011, kb_relative_information_score: 1462.9732, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8186, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.7975, kappa: 0.7772, kb_relative_information_score: 1537.4767, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7976, predictive_accuracy: 0.7995, prior_entropy: 3.3219, recall: 0.7995, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8053, kappa: 0.7833, kb_relative_information_score: 1565.8945, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8075, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.7573, kappa: 0.7333, kb_relative_information_score: 1513.4114, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7588, predictive_accuracy: 0.76, prior_entropy: 3.3219, recall: 0.76, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8079, kappa: 0.7872, kb_relative_information_score: 1579.4805, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8086, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.3312, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8119, kappa: 0.7917, kb_relative_information_score: 1594.4567, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8122, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.315, 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: 0.9746, f_measure: 0.7793, kappa: 0.7556, kb_relative_information_score: 1496.1417, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7805, predictive_accuracy: 0.78, prior_entropy: 3.3219, recall: 0.78, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.5761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8182, kappa: 0.7978, kb_relative_information_score: 1539.6876, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8195, predictive_accuracy: 0.818, prior_entropy: 3.3219, recall: 0.818, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.803, kappa: 0.7822, kb_relative_information_score: 1521.6295, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8033, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8378, kappa: 0.8206, kb_relative_information_score: 1531.4432, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8382, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.3903, 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: 0.981, f_measure: 0.8162, kappa: 0.7961, kb_relative_information_score: 1524.5674, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8173, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8413, kappa: 0.8239, kb_relative_information_score: 1632.2117, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8416, predictive_accuracy: 0.8415, prior_entropy: 3.3219, recall: 0.8415, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.7771, kappa: 0.7522, kb_relative_information_score: 1557.4792, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.778, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.7708, kappa: 0.7456, kb_relative_information_score: 1478.2884, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7731, predictive_accuracy: 0.771, prior_entropy: 3.3219, recall: 0.771, relative_absolute_error: 0.3966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.176, root_relative_squared_error: 0.5868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8065, kappa: 0.7867, kb_relative_information_score: 1530.0618, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8066, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.5547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8203, kappa: 0.8011, kb_relative_information_score: 1539.3489, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8207, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8295, kappa: 0.8117, kb_relative_information_score: 1510.881, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8295, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8249, kappa: 0.8061, kb_relative_information_score: 1476.5344, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8253, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.5653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8061, kappa: 0.7839, kb_relative_information_score: 1550.5939, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8086, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8236, kappa: 0.8061, kb_relative_information_score: 1427.6846, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.823, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8257, kappa: 0.8072, kb_relative_information_score: 1546.1069, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8258, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8273, kappa: 0.8083, kb_relative_information_score: 1616.0172, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8282, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8053, kappa: 0.7844, kb_relative_information_score: 1527.5705, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.806, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8135, kappa: 0.7967, kb_relative_information_score: 1224.1106, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8126, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.802, kappa: 0.7794, kb_relative_information_score: 1535.4449, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8039, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.5523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.7962, kappa: 0.7744, kb_relative_information_score: 1537.8745, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7972, predictive_accuracy: 0.797, prior_entropy: 3.3219, recall: 0.797, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.7868, kappa: 0.7694, kb_relative_information_score: 948.8415, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7877, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8267, kappa: 0.8078, kb_relative_information_score: 1635.2191, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8269, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.5184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8177, kappa: 0.7994, kb_relative_information_score: 1469.6239, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8177, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.171, root_relative_squared_error: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8267, kappa: 0.8078, kb_relative_information_score: 1571.9681, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8274, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.5295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8104, kappa: 0.79, kb_relative_information_score: 1541.9437, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8111, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.5519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.823, kappa: 0.8044, kb_relative_information_score: 1478.3289, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8229, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.17, root_relative_squared_error: 0.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.814, kappa: 0.795, kb_relative_information_score: 1507.0258, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.814, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.817, kappa: 0.7972, kb_relative_information_score: 1594.4422, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8172, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.5295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8123, kappa: 0.7911, kb_relative_information_score: 1559.3057, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8146, predictive_accuracy: 0.812, prior_entropy: 3.3219, recall: 0.812, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8231, kappa: 0.8044, kb_relative_information_score: 1468.4701, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8236, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8006, kappa: 0.7822, kb_relative_information_score: 1194.4619, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7999, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.6836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8139, kappa: 0.7961, kb_relative_information_score: 1245.96, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8141, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8039, kappa: 0.7833, kb_relative_information_score: 1547.5927, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.804, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.818, kappa: 0.7994, kb_relative_information_score: 1476.4844, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8175, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8206, kappa: 0.8022, kb_relative_information_score: 1503.9958, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8205, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8303, kappa: 0.8122, kb_relative_information_score: 1481.3779, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8311, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.169, root_relative_squared_error: 0.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8155, kappa: 0.7956, kb_relative_information_score: 1600.2366, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8158, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.5326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8091, kappa: 0.79, kb_relative_information_score: 1571.3791, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8087, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.5423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8256, kappa: 0.8061, kb_relative_information_score: 1587.5348, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8266, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.5256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8085, kappa: 0.7878, kb_relative_information_score: 1553.3238, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8098, predictive_accuracy: 0.809, prior_entropy: 3.3219, recall: 0.809, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.164, root_relative_squared_error: 0.5466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8189, kappa: 0.8, kb_relative_information_score: 1517.4416, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8194, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.5539,

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