OpenML
Supervised Classification on segment

Supervised Classification on segment

Task 36 Supervised Classification segment 12978 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 under100k under1m
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12978 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4177, kappa: -0.1646, kb_relative_information_score: -178.6762, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, predictive_accuracy: 0.0017, prior_entropy: 2.8074, recall: 0.0017, relative_absolute_error: 1.1646, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5341, root_relative_squared_error: 1.5262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.6884, kappa: 0.6798, kb_relative_information_score: 1625.7759, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8391, predictive_accuracy: 0.7255, prior_entropy: 2.8074, recall: 0.7255, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.28, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9213, kappa: 0.9066, kb_relative_information_score: 2110.3447, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.924, predictive_accuracy: 0.9199, prior_entropy: 2.8074, recall: 0.9199, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8789, kappa: 0.8561, kb_relative_information_score: 2002.4229, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8834, predictive_accuracy: 0.8766, prior_entropy: 2.8074, recall: 0.8766, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.5365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9626, kappa: 0.9561, kb_relative_information_score: 2216.1081, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.963, predictive_accuracy: 0.9623, prior_entropy: 2.8074, recall: 0.9623, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.2964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.968, kappa: 0.9626, kb_relative_information_score: 2230.1379, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 2.8074, recall: 0.968, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.2734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.832, kappa: 0.8106, kb_relative_information_score: 1905.2933, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8393, predictive_accuracy: 0.8377, prior_entropy: 2.8074, recall: 0.8377, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.6155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.4049, kappa: 0.3278, kb_relative_information_score: 873.5611, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4496, predictive_accuracy: 0.4238, prior_entropy: 2.8074, recall: 0.4238, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4057, root_relative_squared_error: 1.1595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9209, kappa: 0.9081, kb_relative_information_score: 2113.5824, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9215, predictive_accuracy: 0.9212, prior_entropy: 2.8074, recall: 0.9212, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8523, kappa: 0.8298, kb_relative_information_score: 1946.3036, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8549, predictive_accuracy: 0.8541, prior_entropy: 2.8074, recall: 0.8541, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9355, kappa: 0.9253, kb_relative_information_score: 2150.2758, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.936, predictive_accuracy: 0.9359, prior_entropy: 2.8074, recall: 0.9359, relative_absolute_error: 0.0747, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9081, kappa: 0.8934, kb_relative_information_score: 2082.285, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9088, predictive_accuracy: 0.9087, prior_entropy: 2.8074, recall: 0.9087, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.4617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9316, kappa: 0.9197, kb_relative_information_score: 2138.4044, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9325, predictive_accuracy: 0.9312, prior_entropy: 2.8074, recall: 0.9312, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.4008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9381, kappa: 0.9278, kb_relative_information_score: 2155.6719, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 2.8074, recall: 0.9381, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.133, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9608, kappa: 0.9545, kb_relative_information_score: 2212.8704, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.961, predictive_accuracy: 0.961, prior_entropy: 2.8074, recall: 0.961, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.3015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9638, kappa: 0.9576, kb_relative_information_score: 2219.3457, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9645, predictive_accuracy: 0.9636, prior_entropy: 2.8074, recall: 0.9636, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.697, kappa: 0.6879, kb_relative_information_score: 1643.0434, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8412, predictive_accuracy: 0.7325, prior_entropy: 2.8074, recall: 0.7325, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.7901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7297, kappa: 0.7167, kb_relative_information_score: 1704.5588, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8294, predictive_accuracy: 0.7571, prior_entropy: 2.8074, recall: 0.7571, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.6346, kappa: 0.5682, kb_relative_information_score: 1387.2688, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.6461, predictive_accuracy: 0.6299, prior_entropy: 2.8074, recall: 0.6299, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.6887, kappa: 0.6803, kb_relative_information_score: 1626.8551, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8401, predictive_accuracy: 0.726, prior_entropy: 2.8074, recall: 0.726, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.855, kappa: 0.8323, kb_relative_information_score: 1951.6997, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8564, predictive_accuracy: 0.8563, prior_entropy: 2.8074, recall: 0.8563, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9451, kappa: 0.9359, kb_relative_information_score: 2172.9393, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.947, predictive_accuracy: 0.945, prior_entropy: 2.8074, recall: 0.945, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.915, kappa: 0.901, kb_relative_information_score: 2098.4733, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9212, predictive_accuracy: 0.9152, prior_entropy: 2.8074, recall: 0.9152, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.4449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9227, kappa: 0.9091, kb_relative_information_score: 2115.7408, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9236, predictive_accuracy: 0.9221, prior_entropy: 2.8074, recall: 0.9221, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9302, kappa: 0.9192, kb_relative_information_score: 2137.3252, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9309, predictive_accuracy: 0.9307, prior_entropy: 2.8074, recall: 0.9307, relative_absolute_error: 0.0808, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.4156, kappa: 0.3409, kb_relative_information_score: 901.6208, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4584, predictive_accuracy: 0.4351, prior_entropy: 2.8074, recall: 0.4351, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4018, root_relative_squared_error: 1.1481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9697, kappa: 0.9646, kb_relative_information_score: 2234.4548, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 2.8074, recall: 0.9697, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.093, root_relative_squared_error: 0.2659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9586, kappa: 0.952, kb_relative_information_score: 2207.4743, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 2.8074, recall: 0.9589, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.3098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7266, kappa: 0.6808, kb_relative_information_score: 1627.9344, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7301, predictive_accuracy: 0.7264, prior_entropy: 2.8074, recall: 0.7264, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9483, kappa: 0.9394, kb_relative_information_score: 2180.4939, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9488, predictive_accuracy: 0.9481, prior_entropy: 2.8074, recall: 0.9481, relative_absolute_error: 0.0606, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.3482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9693, kappa: 0.9641, kb_relative_information_score: 2233.3755, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 2.8074, recall: 0.9693, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.2678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.96, kappa: 0.9535, kb_relative_information_score: 2210.712, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 2.8074, recall: 0.9602, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.3048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.4601, kappa: 0.401, kb_relative_information_score: 1030.0477, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.5083, predictive_accuracy: 0.4866, prior_entropy: 2.8074, recall: 0.4866, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.383, root_relative_squared_error: 1.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8916, kappa: 0.8712, kb_relative_information_score: 2034.7995, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8946, predictive_accuracy: 0.8896, prior_entropy: 2.8074, recall: 0.8896, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9617, kappa: 0.9556, kb_relative_information_score: 2215.0288, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9619, predictive_accuracy: 0.9619, prior_entropy: 2.8074, recall: 0.9619, relative_absolute_error: 0.0444, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8729, kappa: 0.8394, kb_relative_information_score: 1966.8087, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9121, predictive_accuracy: 0.8623, prior_entropy: 2.8074, recall: 0.8623, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9342, kappa: 0.9237, kb_relative_information_score: 2147.0381, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9362, predictive_accuracy: 0.9346, prior_entropy: 2.8074, recall: 0.9346, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9542, kappa: 0.9465, kb_relative_information_score: 2195.6029, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9549, predictive_accuracy: 0.9541, prior_entropy: 2.8074, recall: 0.9541, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.394, kappa: 0.2965, kb_relative_information_score: 806.6496, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.421, predictive_accuracy: 0.397, prior_entropy: 2.8074, recall: 0.397, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.1862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8422, kappa: 0.8172, kb_relative_information_score: 1919.3232, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8449, predictive_accuracy: 0.8433, prior_entropy: 2.8074, recall: 0.8433, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.6884, kappa: 0.6798, kb_relative_information_score: 1625.7759, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8391, predictive_accuracy: 0.7255, prior_entropy: 2.8074, recall: 0.7255, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.28, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9646, kappa: 0.9586, kb_relative_information_score: 2221.5041, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9646, predictive_accuracy: 0.9645, prior_entropy: 2.8074, recall: 0.9645, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.3301, kappa: 0.1985, kb_relative_information_score: 597.2814, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.3882, predictive_accuracy: 0.313, prior_entropy: 2.8074, recall: 0.313, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.443, root_relative_squared_error: 1.2661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9213, kappa: 0.9086, kb_relative_information_score: 2114.6616, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9219, predictive_accuracy: 0.9216, prior_entropy: 2.8074, recall: 0.9216, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4167, kappa: -0.1667, kb_relative_information_score: -182.9931, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, prior_entropy: 2.8074, relative_absolute_error: 1.1667, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.5275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9681, kappa: 0.9626, kb_relative_information_score: 2230.1379, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9683, predictive_accuracy: 0.968, prior_entropy: 2.8074, recall: 0.968, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.2734,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8924, kappa: 0.8753, kb_relative_information_score: 2043.4332, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.893, predictive_accuracy: 0.8931, prior_entropy: 2.8074, recall: 0.8931, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.4995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.7899, kappa: 0.7525, kb_relative_information_score: 1781.1833, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.7953, predictive_accuracy: 0.7879, prior_entropy: 2.8074, recall: 0.7879, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.7035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9578, kappa: 0.951, kb_relative_information_score: 2205.3159, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9578, predictive_accuracy: 0.958, prior_entropy: 2.8074, recall: 0.958, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9247, kappa: 0.9126, kb_relative_information_score: 2123.2953, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9252, predictive_accuracy: 0.9251, prior_entropy: 2.8074, recall: 0.9251, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.92, kappa: 0.9071, kb_relative_information_score: 2111.4239, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9206, predictive_accuracy: 0.9203, prior_entropy: 2.8074, recall: 0.9203, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.9009, kappa: 0.8808, kb_relative_information_score: 2055.3046, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.914, predictive_accuracy: 0.8978, prior_entropy: 2.8074, recall: 0.8978, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.4882,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9134, kappa: 0.898, kb_relative_information_score: 2091.998, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9146, predictive_accuracy: 0.9126, prior_entropy: 2.8074, recall: 0.9126, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9603, kappa: 0.9535, kb_relative_information_score: 2210.712, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9607, predictive_accuracy: 0.9602, prior_entropy: 2.8074, recall: 0.9602, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.3048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9638, kappa: 0.9576, kb_relative_information_score: 2219.3457, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9646, predictive_accuracy: 0.9636, prior_entropy: 2.8074, recall: 0.9636, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9662, kappa: 0.9606, kb_relative_information_score: 2225.821, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9662, predictive_accuracy: 0.9662, prior_entropy: 2.8074, recall: 0.9662, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.2807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9276, kappa: 0.9162, kb_relative_information_score: 2130.8498, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9284, predictive_accuracy: 0.9281, prior_entropy: 2.8074, recall: 0.9281, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8805, kappa: 0.8601, kb_relative_information_score: 2011.0567, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8837, predictive_accuracy: 0.8801, prior_entropy: 2.8074, recall: 0.8801, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9277, kappa: 0.9157, kb_relative_information_score: 2129.7706, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9285, predictive_accuracy: 0.9277, prior_entropy: 2.8074, recall: 0.9277, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7583, kappa: 0.7364, kb_relative_information_score: 1746.6483, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8155, predictive_accuracy: 0.774, prior_entropy: 2.8074, recall: 0.774, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.7261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9125, kappa: 0.898, kb_relative_information_score: 2091.998, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9133, predictive_accuracy: 0.9126, prior_entropy: 2.8074, recall: 0.9126, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9294, kappa: 0.9182, kb_relative_information_score: 2135.1667, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.93, predictive_accuracy: 0.9299, prior_entropy: 2.8074, recall: 0.9299, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9667, kappa: 0.9611, kb_relative_information_score: 2226.9002, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9674, predictive_accuracy: 0.9667, prior_entropy: 2.8074, recall: 0.9667, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.2789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.97, kappa: 0.9652, kb_relative_information_score: 2235.534, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.97, predictive_accuracy: 0.9701, prior_entropy: 2.8074, recall: 0.9701, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9603, kappa: 0.9535, kb_relative_information_score: 2210.712, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9607, predictive_accuracy: 0.9602, prior_entropy: 2.8074, recall: 0.9602, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.3048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.941, kappa: 0.9318, kb_relative_information_score: 2164.3056, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9422, predictive_accuracy: 0.9416, prior_entropy: 2.8074, recall: 0.9416, relative_absolute_error: 0.0682, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.3693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.874, kappa: 0.8545, kb_relative_information_score: 1999.1853, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8745, predictive_accuracy: 0.8753, prior_entropy: 2.8074, recall: 0.8753, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5394,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3923, kappa: 0.2904, kb_relative_information_score: 793.699, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4464, predictive_accuracy: 0.3918, prior_entropy: 2.8074, recall: 0.3918, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4169, root_relative_squared_error: 1.1913,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8821, kappa: 0.8636, kb_relative_information_score: 2018.6112, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8825, predictive_accuracy: 0.8831, prior_entropy: 2.8074, recall: 0.8831, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.5222,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.3979, kappa: 0.3111, kb_relative_information_score: 837.9469, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4244, predictive_accuracy: 0.4095, prior_entropy: 2.8074, recall: 0.4095, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4107, root_relative_squared_error: 1.1738,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9566, kappa: 0.9485, kb_relative_information_score: 2199.9198, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9596, predictive_accuracy: 0.9558, prior_entropy: 2.8074, recall: 0.9558, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8704, kappa: 0.85, kb_relative_information_score: 1989.4723, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8714, predictive_accuracy: 0.8714, prior_entropy: 2.8074, recall: 0.8714, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9255, kappa: 0.9081, kb_relative_information_score: 2113.5824, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9416, predictive_accuracy: 0.9212, prior_entropy: 2.8074, recall: 0.9212, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.5545, kappa: 0.4687, kb_relative_information_score: 1174.6629, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.5956, predictive_accuracy: 0.5446, prior_entropy: 2.8074, recall: 0.5446, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3607, root_relative_squared_error: 1.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7331, kappa: 0.7192, kb_relative_information_score: 1709.9549, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8382, predictive_accuracy: 0.7593, prior_entropy: 2.8074, recall: 0.7593, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.7494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.6882, kappa: 0.6798, kb_relative_information_score: 1625.7759, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8397, predictive_accuracy: 0.7255, prior_entropy: 2.8074, recall: 0.7255, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.28, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.4181, kappa: 0.3354, kb_relative_information_score: 889.7494, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4556, predictive_accuracy: 0.4303, prior_entropy: 2.8074, recall: 0.4303, relative_absolute_error: 0.6646, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4034, root_relative_squared_error: 1.1529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9603, kappa: 0.9535, kb_relative_information_score: 2210.712, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9607, predictive_accuracy: 0.9602, prior_entropy: 2.8074, recall: 0.9602, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.3048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6427, f_measure: 0.3892, kappa: 0.2854, kb_relative_information_score: 782.9068, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4346, predictive_accuracy: 0.3874, prior_entropy: 2.8074, recall: 0.3874, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.1955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.3464, kappa: 0.3323, kb_relative_information_score: 883.2741, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.4778, predictive_accuracy: 0.4277, prior_entropy: 2.8074, recall: 0.4277, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4044, root_relative_squared_error: 1.1556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.5869, kappa: 0.5278, kb_relative_information_score: 1300.9314, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.6072, predictive_accuracy: 0.5952, prior_entropy: 2.8074, recall: 0.5952, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9687, kappa: 0.9636, kb_relative_information_score: 2232.2963, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9689, predictive_accuracy: 0.9688, prior_entropy: 2.8074, recall: 0.9688, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.2697,

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