OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24074 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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.3409, kappa: 0.275, kb_relative_information_score: 261.277, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5425, predictive_accuracy: 0.3475, prior_entropy: 3.3219, recall: 0.3475, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.9713, scimark_benchmark: 949.4249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.8114, kappa: 0.7917, kb_relative_information_score: 1499.0065, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8117, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5798, scimark_benchmark: 909.5056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.7807, kappa: 0.7567, kb_relative_information_score: 127.1557, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7808, predictive_accuracy: 0.781, prior_entropy: 3.3219, recall: 0.781, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.9823, scimark_benchmark: 945.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.724, kappa: 0.6967, kb_relative_information_score: 1437.7232, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7249, predictive_accuracy: 0.727, prior_entropy: 3.3219, recall: 0.727, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.6584, scimark_benchmark: 943.2353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.04, kappa: 0.0067, kb_relative_information_score: 159.7984, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5201, predictive_accuracy: 0.106, prior_entropy: 3.3219, recall: 0.106, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.0187, scimark_benchmark: 944.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, 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, scimark_benchmark: 945.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8099, kappa: 0.7894, kb_relative_information_score: 1580.7612, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8108, predictive_accuracy: 0.8105, prior_entropy: 3.3219, recall: 0.8105, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.5385, scimark_benchmark: 945.8242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.3525, kappa: 0.3106, kb_relative_information_score: 702.215, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3406, predictive_accuracy: 0.3795, prior_entropy: 3.3219, recall: 0.3795, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3523, root_relative_squared_error: 1.1743, scimark_benchmark: 948.3176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.4996, kappa: 0.4994, kb_relative_information_score: 621.222, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6133, predictive_accuracy: 0.5495, prior_entropy: 3.3219, recall: 0.5495, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.9198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.7055, kappa: 0.6728, kb_relative_information_score: 1448.7014, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7179, predictive_accuracy: 0.7055, prior_entropy: 3.3219, recall: 0.7055, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.6743, scimark_benchmark: 908.9465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.1206, kappa: 0.05, kb_relative_information_score: 183.7627, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7316, predictive_accuracy: 0.145, prior_entropy: 3.3219, recall: 0.145, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.305, root_relative_squared_error: 1.0166, scimark_benchmark: 945.4399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.6359, kappa: 0.5817, kb_relative_information_score: 451.9721, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7187, predictive_accuracy: 0.6235, prior_entropy: 3.3219, recall: 0.6235, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.9443, scimark_benchmark: 950.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8399, kappa: 0.8228, kb_relative_information_score: 576.937, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8401, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9127, scimark_benchmark: 942.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.7481, kappa: 0.7233, kb_relative_information_score: 1476.9982, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7469, predictive_accuracy: 0.751, prior_entropy: 3.3219, recall: 0.751, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.6363, scimark_benchmark: 945.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8382, kappa: 0.8194, kb_relative_information_score: 573.961, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8392, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9134, scimark_benchmark: 946.5706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8289, kappa: 0.8106, kb_relative_information_score: 1680.9981, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8288, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.525, scimark_benchmark: 947.4686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8123, kappa: 0.7917, kb_relative_information_score: 1645.3407, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8175, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.5278, scimark_benchmark: 944.7321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8028, kappa: 0.7811, kb_relative_information_score: 1574.8011, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8043, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.545, scimark_benchmark: 947.6857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8185, kappa: 0.7994, kb_relative_information_score: 1661.6864, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8181, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.5161, scimark_benchmark: 949.3766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.6389, kappa: 0.5967, kb_relative_information_score: 1240.7801, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6418, predictive_accuracy: 0.637, prior_entropy: 3.3219, recall: 0.637, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8981, scimark_benchmark: 947.1733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.0736, kappa: 0.0517, kb_relative_information_score: 165.4546, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6475, predictive_accuracy: 0.1465, prior_entropy: 3.3219, recall: 0.1465, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3059, root_relative_squared_error: 1.0197, scimark_benchmark: 946.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.7457, kappa: 0.7206, kb_relative_information_score: 1477.1434, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7442, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.6385, scimark_benchmark: 946.9714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.7756, kappa: 0.7544, kb_relative_information_score: 1644.9045, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7917, predictive_accuracy: 0.779, prior_entropy: 3.3219, recall: 0.779, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.5875, scimark_benchmark: 947.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.7559, kappa: 0.7317, kb_relative_information_score: 554.1392, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7615, predictive_accuracy: 0.7585, prior_entropy: 3.3219, recall: 0.7585, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.7239, kappa: 0.6956, kb_relative_information_score: 1446.27, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.726, predictive_accuracy: 0.726, prior_entropy: 3.3219, recall: 0.726, relative_absolute_error: 0.3757, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.6572, scimark_benchmark: 943.7663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.8088, kappa: 0.7883, kb_relative_information_score: 1581.676, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8096, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.538, scimark_benchmark: 908.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8128, kappa: 0.7917, kb_relative_information_score: 1640.5727, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8178, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.5279, scimark_benchmark: 940.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8059, kappa: 0.785, kb_relative_information_score: 1579.3979, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8067, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5397, scimark_benchmark: 909.8167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.7615, kappa: 0.7367, kb_relative_information_score: 1532.8342, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7628, predictive_accuracy: 0.763, prior_entropy: 3.3219, recall: 0.763, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.6761, scimark_benchmark: 946.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.7547, kappa: 0.7283, kb_relative_information_score: 1508.8529, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7569, predictive_accuracy: 0.7555, prior_entropy: 3.3219, recall: 0.7555, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.7005, scimark_benchmark: 945.7371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8031, kappa: 0.7811, kb_relative_information_score: 1628.4206, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8038, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.5629, scimark_benchmark: 946.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8171, kappa: 0.7983, kb_relative_information_score: 1595.2035, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.5482, scimark_benchmark: 946.9546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8289, kappa: 0.8106, kb_relative_information_score: 1680.9981, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8288, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.525, scimark_benchmark: 944.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8091, kappa: 0.7889, kb_relative_information_score: 1659.7603, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8123, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.5586, scimark_benchmark: 949.1582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.7619, kappa: 0.7372, kb_relative_information_score: 1533.5637, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7633, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6765, scimark_benchmark: 945.0915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8381, kappa: 0.8211, kb_relative_information_score: 577.4607, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8389, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9133, scimark_benchmark: 946.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.7372, kappa: 0.7072, kb_relative_information_score: 132.5869, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7737, predictive_accuracy: 0.7365, prior_entropy: 3.3219, recall: 0.7365, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.9816, scimark_benchmark: 948.5402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8119, kappa: 0.7917, kb_relative_information_score: 1622.2412, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8179, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.5323, scimark_benchmark: 947.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.2664, kappa: 0.2078, kb_relative_information_score: 251.2722, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3245, predictive_accuracy: 0.287, prior_entropy: 3.3219, recall: 0.287, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.9744, scimark_benchmark: 948.1385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.7784, kappa: 0.7533, kb_relative_information_score: 543.3217, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.788, predictive_accuracy: 0.778, prior_entropy: 3.3219, recall: 0.778, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.9218, scimark_benchmark: 945.7716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.06, kappa: 0.0094, kb_relative_information_score: 162.2175, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6304, predictive_accuracy: 0.1085, prior_entropy: 3.3219, recall: 0.1085, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3063, root_relative_squared_error: 1.0211, scimark_benchmark: 945.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8341, kappa: 0.815, kb_relative_information_score: 1675.3573, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.835, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.165, root_relative_squared_error: 0.5501, scimark_benchmark: 947.5382,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8437, kappa: 0.8256, kb_relative_information_score: 1696.4236, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.845, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4911, scimark_benchmark: 947.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.5572, kappa: 0.5383, kb_relative_information_score: 630.3216, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6327, predictive_accuracy: 0.5845, prior_entropy: 3.3219, recall: 0.5845, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.9028, scimark_benchmark: 925.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 883.2731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.6778, kappa: 0.6428, kb_relative_information_score: 1327.5779, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.678, predictive_accuracy: 0.6785, prior_entropy: 3.3219, recall: 0.6785, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.8452, scimark_benchmark: 932.8936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7655, kappa: 0.7433, kb_relative_information_score: 1185.4327, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7637, predictive_accuracy: 0.769, prior_entropy: 3.3219, recall: 0.769, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.6715, scimark_benchmark: 861.2538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.3467, kappa: 0.2906, kb_relative_information_score: 664.5677, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3374, predictive_accuracy: 0.3615, prior_entropy: 3.3219, recall: 0.3615, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3574, root_relative_squared_error: 1.1912, scimark_benchmark: 918.6826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8001, kappa: 0.7767, kb_relative_information_score: 1637.4808, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8034, predictive_accuracy: 0.799, prior_entropy: 3.3219, recall: 0.799, relative_absolute_error: 0.2366, 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: 0.9723, f_measure: 0.8286, kappa: 0.8089, kb_relative_information_score: 1664.3118, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8302, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5714, scimark_benchmark: 935.4662,

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