OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 17193 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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17193 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8188, kappa: 0.8, kb_relative_information_score: 1548.43, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8188, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.3677, 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: 0.9831, f_measure: 0.8282, kappa: 0.8094, kb_relative_information_score: 1583.5584, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8293, predictive_accuracy: 0.8285, prior_entropy: 3.3219, recall: 0.8285, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.7549, kappa: 0.73, kb_relative_information_score: 1523.235, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7552, predictive_accuracy: 0.757, prior_entropy: 3.3219, recall: 0.757, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.6209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.7405, kappa: 0.7111, kb_relative_information_score: 1486.0129, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7445, predictive_accuracy: 0.74, prior_entropy: 3.3219, recall: 0.74, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.7846, kappa: 0.7617, kb_relative_information_score: 1517.9296, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.786, predictive_accuracy: 0.7855, prior_entropy: 3.3219, recall: 0.7855, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.7894, kappa: 0.7661, kb_relative_information_score: 1501.0392, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.791, predictive_accuracy: 0.7895, prior_entropy: 3.3219, recall: 0.7895, relative_absolute_error: 0.3899, 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: 0.9817, f_measure: 0.8114, kappa: 0.7911, kb_relative_information_score: 1561.1906, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 3.3219, recall: 0.812, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8273, kappa: 0.8083, kb_relative_information_score: 1524.1582, mean_absolute_error: 0.0707, 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: 0.3931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.7526, kappa: 0.7272, kb_relative_information_score: 1519.7378, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7527, predictive_accuracy: 0.7545, prior_entropy: 3.3219, recall: 0.7545, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.6179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.8398, 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: 0.9817, f_measure: 0.8238, kappa: 0.8056, kb_relative_information_score: 1457.5753, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8237, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.4446, 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: 0.9816, f_measure: 0.8186, kappa: 0.7989, kb_relative_information_score: 1536.8256, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8192, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.164, root_relative_squared_error: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8207, kappa: 0.8033, kb_relative_information_score: 1349.6227, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8199, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8089, kappa: 0.7883, kb_relative_information_score: 1542.1008, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8099, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.3567, 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: 0.983, f_measure: 0.834, kappa: 0.8167, kb_relative_information_score: 1519.4816, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8341, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8033, kappa: 0.7833, kb_relative_information_score: 1378.2068, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8039, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.183, root_relative_squared_error: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.7834, kappa: 0.7589, kb_relative_information_score: 1563.1869, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7846, predictive_accuracy: 0.783, prior_entropy: 3.3219, recall: 0.783, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8148, kappa: 0.7939, kb_relative_information_score: 1574.1032, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8173, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.3418, 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: 0.9794, f_measure: 0.8114, kappa: 0.7906, kb_relative_information_score: 1510.199, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8128, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.3878, 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: 0.9794, f_measure: 0.804, kappa: 0.7844, kb_relative_information_score: 1536.6993, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8034, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8007, kappa: 0.7806, kb_relative_information_score: 1479.4567, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8013, predictive_accuracy: 0.8025, prior_entropy: 3.3219, recall: 0.8025, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.7873, kappa: 0.7639, kb_relative_information_score: 1500.3719, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7889, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8255, kappa: 0.8072, kb_relative_information_score: 1441.2894, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8262, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.799, kappa: 0.7783, kb_relative_information_score: 1559.1832, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7991, predictive_accuracy: 0.8005, prior_entropy: 3.3219, recall: 0.8005, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.5503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8209, kappa: 0.8017, kb_relative_information_score: 1560.4618, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8212, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.3581, 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: 0.9797, f_measure: 0.8202, kappa: 0.8028, kb_relative_information_score: 1378.515, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.82, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8075, kappa: 0.7872, kb_relative_information_score: 1536.2057, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8077, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.7797, kappa: 0.7561, kb_relative_information_score: 1509.6732, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7823, predictive_accuracy: 0.7805, prior_entropy: 3.3219, recall: 0.7805, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.5751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.7567, kappa: 0.7328, kb_relative_information_score: 1528.612, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.756, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.6042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.799, kappa: 0.7778, kb_relative_information_score: 1540.8087, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7998, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.809, kappa: 0.7883, kb_relative_information_score: 1546.2573, mean_absolute_error: 0.0635, 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: 0.3526, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.5506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8142, kappa: 0.7939, kb_relative_information_score: 1587.5932, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8159, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.7857, kappa: 0.7628, kb_relative_information_score: 1472.2958, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7875, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8316, kappa: 0.8128, kb_relative_information_score: 1597.7798, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8333, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8, kappa: 0.78, kb_relative_information_score: 1378.088, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8006, predictive_accuracy: 0.802, prior_entropy: 3.3219, recall: 0.802, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.6107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8153, kappa: 0.7956, kb_relative_information_score: 1481.6153, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8159, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.4185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8303, kappa: 0.8122, kb_relative_information_score: 1612.0729, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8309, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.3054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.157, root_relative_squared_error: 0.5232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8093, kappa: 0.7883, kb_relative_information_score: 1521.8826, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8104, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.381, 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: 0.9732, f_measure: 0.7925, kappa: 0.775, kb_relative_information_score: 1122.463, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7903, predictive_accuracy: 0.7975, prior_entropy: 3.3219, recall: 0.7975, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.7128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.7786, kappa: 0.7528, kb_relative_information_score: 1549.9385, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7813, predictive_accuracy: 0.7775, prior_entropy: 3.3219, recall: 0.7775, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.5872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.844, kappa: 0.8267, kb_relative_information_score: 1637.4216, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8446, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.5019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8423, kappa: 0.8261, kb_relative_information_score: 1537.5476, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8422, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.7824, kappa: 0.7606, kb_relative_information_score: 1542.6032, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7829, predictive_accuracy: 0.7845, prior_entropy: 3.3219, recall: 0.7845, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.5658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8216, kappa: 0.8017, kb_relative_information_score: 1551.9492, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8228, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.161, root_relative_squared_error: 0.5366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.7873, kappa: 0.7694, kb_relative_information_score: 1003.7658, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.786, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.227, root_relative_squared_error: 0.7568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8189, kappa: 0.8, kb_relative_information_score: 1504.1017, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8195, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.4047, 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: 0.9836, f_measure: 0.8412, kappa: 0.8239, kb_relative_information_score: 1580.8031, mean_absolute_error: 0.0627, 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: 0.3485, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.5217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8145, kappa: 0.7961, kb_relative_information_score: 1425.6819, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8153, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8278, kappa: 0.8106, kb_relative_information_score: 1494.4118, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8278, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8088, kappa: 0.7883, kb_relative_information_score: 1531.1185, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8095, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8362, kappa: 0.8178, kb_relative_information_score: 1543.0835, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8375, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8433, kappa: 0.8261, kb_relative_information_score: 1632.7653, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8437, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8159, kappa: 0.795, kb_relative_information_score: 1562.5772, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8177, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.5369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.7889, kappa: 0.7667, kb_relative_information_score: 1509.1647, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.79, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.5712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8155, kappa: 0.7961, kb_relative_information_score: 1547.1961, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8158, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.3651, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.5454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.7613, kappa: 0.7328, kb_relative_information_score: 1518.8139, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7639, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.193, root_relative_squared_error: 0.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8301, kappa: 0.8133, kb_relative_information_score: 1365.7503, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8297, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8164, kappa: 0.7972, kb_relative_information_score: 1444.4658, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8171, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.4534, 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: 0.9799, f_measure: 0.81, kappa: 0.7889, kb_relative_information_score: 1550.9677, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8116, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.3579, 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: 0.9804, f_measure: 0.8111, kappa: 0.7906, kb_relative_information_score: 1513.9356, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8121, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.3934, 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: 0.9689, f_measure: 0.789, kappa: 0.7717, kb_relative_information_score: 1043.5038, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7863, predictive_accuracy: 0.7945, prior_entropy: 3.3219, recall: 0.7945, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.7418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8069, kappa: 0.7856, kb_relative_information_score: 1543.9951, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8083, predictive_accuracy: 0.807, prior_entropy: 3.3219, recall: 0.807, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.5522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.7903, kappa: 0.7678, kb_relative_information_score: 1490.7481, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7915, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8244, kappa: 0.8056, kb_relative_information_score: 1583.3938, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8247, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.5283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8038, kappa: 0.7833, kb_relative_information_score: 1560.0668, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8038, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.3481, 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: 0.9844, f_measure: 0.8416, kappa: 0.8244, kb_relative_information_score: 1620.0377, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8422, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.3118, 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: 0.9807, f_measure: 0.8216, kappa: 0.8039, kb_relative_information_score: 1371.1167, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8217, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.6072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.7778, kappa: 0.7522, kb_relative_information_score: 1527.4647, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7809, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.7941, kappa: 0.7733, kb_relative_information_score: 1534.4117, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7938, predictive_accuracy: 0.796, prior_entropy: 3.3219, recall: 0.796, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.7703, kappa: 0.7439, kb_relative_information_score: 1501.3695, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7736, predictive_accuracy: 0.7695, prior_entropy: 3.3219, recall: 0.7695, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8309, kappa: 0.8128, kb_relative_information_score: 1590.9212, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8313, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8236, kappa: 0.8044, kb_relative_information_score: 1563.1167, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8248, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.346, 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: 0.983, f_measure: 0.8252, kappa: 0.8056, kb_relative_information_score: 1592.1853, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8264, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.5245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8263, kappa: 0.8072, kb_relative_information_score: 1549.5203, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8268, predictive_accuracy: 0.8265, prior_entropy: 3.3219, recall: 0.8265, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8225, kappa: 0.805, kb_relative_information_score: 1445.9007, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8223, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.7917, kappa: 0.7678, kb_relative_information_score: 1545.6111, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7947, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.7949, kappa: 0.7744, kb_relative_information_score: 1541.2282, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7947, predictive_accuracy: 0.797, prior_entropy: 3.3219, recall: 0.797, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8168, kappa: 0.7994, kb_relative_information_score: 1356.363, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8159, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8143, kappa: 0.7956, kb_relative_information_score: 1472.7006, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8142, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8035, kappa: 0.7811, kb_relative_information_score: 1535.6318, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8024, kappa: 0.7822, kb_relative_information_score: 1539.6081, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8022, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.3651, 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: 0.9563, f_measure: 0.7373, kappa: 0.7072, kb_relative_information_score: 1454.4584, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7422, predictive_accuracy: 0.7365, prior_entropy: 3.3219, recall: 0.7365, relative_absolute_error: 0.3634, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8279, kappa: 0.8094, kb_relative_information_score: 1526.2146, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8282, predictive_accuracy: 0.8285, prior_entropy: 3.3219, recall: 0.8285, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.164, root_relative_squared_error: 0.5468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.7747, kappa: 0.75, kb_relative_information_score: 1487.9929, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7764, predictive_accuracy: 0.775, prior_entropy: 3.3219, recall: 0.775, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.8007, kappa: 0.7789, kb_relative_information_score: 1511.4539, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8027, predictive_accuracy: 0.801, prior_entropy: 3.3219, recall: 0.801, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.5655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.8004, kappa: 0.7778, kb_relative_information_score: 1572.2437, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8027, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8367, kappa: 0.8183, kb_relative_information_score: 1575.299, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8377, predictive_accuracy: 0.8365, prior_entropy: 3.3219, recall: 0.8365, relative_absolute_error: 0.3484, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.157, root_relative_squared_error: 0.5234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8431, kappa: 0.8256, kb_relative_information_score: 1608.7744, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.844, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.5124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7975, kappa: 0.7739, kb_relative_information_score: 1578.0568, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7996, predictive_accuracy: 0.7965, prior_entropy: 3.3219, recall: 0.7965, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8202, kappa: 0.8017, kb_relative_information_score: 1480.3182, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8206, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8217, kappa: 0.8044, kb_relative_information_score: 1417.6977, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8211, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.4749, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8287, kappa: 0.8106, kb_relative_information_score: 1579.6445, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8289, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.5278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8216, kappa: 0.8028, kb_relative_information_score: 1583.0757, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8217, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.5339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8169, kappa: 0.7983, kb_relative_information_score: 1443.4197, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8174, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.4529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.7771, kappa: 0.7511, kb_relative_information_score: 1554.0865, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7793, predictive_accuracy: 0.776, prior_entropy: 3.3219, recall: 0.776, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8164, kappa: 0.7989, kb_relative_information_score: 1368.9361, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8164, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8322, kappa: 0.8133, kb_relative_information_score: 1588.9179, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8336, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8138, kappa: 0.7939, kb_relative_information_score: 1581.3108, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8141, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.5389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8263, kappa: 0.8078, kb_relative_information_score: 1533.9073, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8264, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.5436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8322, kappa: 0.8139, kb_relative_information_score: 1618.6253, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8325, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.5145,

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