OpenML
Supervised Classification on KDDCup09_upselling

Supervised Classification on KDDCup09_upselling

Task 3948 Supervised Classification KDDCup09_upselling 8590 runs submitted
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  • OpenML100 study_123 study_14 under100k
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8590 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.8954, kappa: 0.0611, kb_relative_information_score: 11454.1852, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8886, predictive_accuracy: 0.9245, prior_entropy: 0.3794, recall: 0.9245, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2748, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12403.5885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.8634, kappa: -0.003, kb_relative_information_score: -19631.1156, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8632, predictive_accuracy: 0.8636, prior_entropy: 0.3794, recall: 0.8636, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3693, root_relative_squared_error: 1.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, f_measure: 0.865, kappa: 0.0107, kb_relative_information_score: -18936.9283, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 0.3794, recall: 0.865, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3675, root_relative_squared_error: 1.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.8833, kappa: 0.1476, kb_relative_information_score: -9728.7374, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8837, predictive_accuracy: 0.883, prior_entropy: 0.3794, recall: 0.883, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3421, root_relative_squared_error: 1.3096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12403.5885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.8904, kappa: 0.0023, kb_relative_information_score: 11239.8038, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8659, predictive_accuracy: 0.9241, prior_entropy: 0.3794, recall: 0.9241, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2755, root_relative_squared_error: 1.0549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.873, kappa: 0.0704, kb_relative_information_score: -14955.5597, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8732, predictive_accuracy: 0.8728, prior_entropy: 0.3794, recall: 0.8728, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3567, root_relative_squared_error: 1.3657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.8623, kappa: -0.0067, kb_relative_information_score: -20447.8066, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8627, predictive_accuracy: 0.862, prior_entropy: 0.3794, recall: 0.862, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.4223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.8633, kappa: -0.0019, kb_relative_information_score: -19835.2884, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8633, predictive_accuracy: 0.8632, prior_entropy: 0.3794, recall: 0.8632, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3699, root_relative_squared_error: 1.4161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.8604, kappa: -0.0234, kb_relative_information_score: -21213.4544, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8604, predictive_accuracy: 0.8605, prior_entropy: 0.3794, recall: 0.8605, relative_absolute_error: 1.0224, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.8814, kappa: 0.1268, kb_relative_information_score: -10300.421, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8809, predictive_accuracy: 0.8819, prior_entropy: 0.3794, recall: 0.8819, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3437, root_relative_squared_error: 1.3159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.8625, kappa: -0.0096, kb_relative_information_score: -20121.1302, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8623, predictive_accuracy: 0.8626, prior_entropy: 0.3794, recall: 0.8626, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3706, root_relative_squared_error: 1.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.8647, kappa: 0.0079, kb_relative_information_score: -19079.8492, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8646, predictive_accuracy: 0.8647, prior_entropy: 0.3794, recall: 0.8647, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3679, root_relative_squared_error: 1.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.8624, kappa: -0.0098, kb_relative_information_score: -20110.9216, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8622, predictive_accuracy: 0.8627, prior_entropy: 0.3794, recall: 0.8627, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3706, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.8864, kappa: 0.1577, kb_relative_information_score: -7268.4557, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8851, predictive_accuracy: 0.8878, prior_entropy: 0.3794, recall: 0.8878, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3349, root_relative_squared_error: 1.2824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.8631, kappa: -0.004, kb_relative_information_score: -19855.7056, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.863, predictive_accuracy: 0.8632, prior_entropy: 0.3794, recall: 0.8632, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3699, root_relative_squared_error: 1.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.863, kappa: -0.0049, kb_relative_information_score: -19927.1661, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8629, predictive_accuracy: 0.863, prior_entropy: 0.3794, recall: 0.863, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3701, root_relative_squared_error: 1.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5601, f_measure: 0.8787, kappa: 0.1183, kb_relative_information_score: -12423.8176, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8797, predictive_accuracy: 0.8777, prior_entropy: 0.3794, recall: 0.8777, relative_absolute_error: 0.8962, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3497, root_relative_squared_error: 1.3388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.8636, kappa: 0.0002, kb_relative_information_score: -19651.5329, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8636, predictive_accuracy: 0.8636, prior_entropy: 0.3794, recall: 0.8636, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3694, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.877, kappa: 0.1007, kb_relative_information_score: -12934.2495, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8773, predictive_accuracy: 0.8767, prior_entropy: 0.3794, recall: 0.8767, relative_absolute_error: 0.9035, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3511, root_relative_squared_error: 1.3443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5176, f_measure: 0.8822, kappa: 0.044, kb_relative_information_score: -3133.9576, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8702, predictive_accuracy: 0.8959, prior_entropy: 0.3794, recall: 0.8959, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3226, root_relative_squared_error: 1.2352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5406, f_measure: 0.8745, kappa: 0.0811, kb_relative_information_score: -14179.7033, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8746, predictive_accuracy: 0.8743, prior_entropy: 0.3794, recall: 0.8743, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3546, root_relative_squared_error: 1.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.8835, kappa: 0.1477, kb_relative_information_score: -9534.7732, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8837, predictive_accuracy: 0.8834, prior_entropy: 0.3794, recall: 0.8834, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3415, root_relative_squared_error: 1.3075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5338, f_measure: 0.8723, kappa: 0.0671, kb_relative_information_score: -15435.3657, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8727, predictive_accuracy: 0.8718, prior_entropy: 0.3794, recall: 0.8718, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.358, root_relative_squared_error: 1.3708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, f_measure: 0.8721, kappa: 0.0603, kb_relative_information_score: -15129.1065, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8718, predictive_accuracy: 0.8724, prior_entropy: 0.3794, recall: 0.8724, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3572, root_relative_squared_error: 1.3676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.8609, kappa: -0.0224, kb_relative_information_score: -20815.3176, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8605, predictive_accuracy: 0.8613, prior_entropy: 0.3794, recall: 0.8613, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3725, root_relative_squared_error: 1.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, f_measure: 0.8683, kappa: 0.0338, kb_relative_information_score: -17150.4167, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8682, predictive_accuracy: 0.8685, prior_entropy: 0.3794, recall: 0.8685, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3627, root_relative_squared_error: 1.3886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4872, f_measure: 0.8602, kappa: -0.0256, kb_relative_information_score: -21335.9581, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.3794, recall: 0.8603, relative_absolute_error: 1.0241, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3738, root_relative_squared_error: 1.4312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.8748, kappa: 0.0856, kb_relative_information_score: -14189.9119, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8752, predictive_accuracy: 0.8743, prior_entropy: 0.3794, recall: 0.8743, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3546, root_relative_squared_error: 1.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12403.5885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8907, kappa: -0.0008, kb_relative_information_score: 12087.1207, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8603, predictive_accuracy: 0.9257, prior_entropy: 0.3794, recall: 0.9257, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2725, root_relative_squared_error: 1.0434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, f_measure: 0.8846, kappa: 0.1442, kb_relative_information_score: -8177.0245, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8833, predictive_accuracy: 0.886, prior_entropy: 0.3794, recall: 0.886, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3376, root_relative_squared_error: 1.2925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.8726, kappa: 0.0693, kb_relative_information_score: -15261.8188, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.873, predictive_accuracy: 0.8722, prior_entropy: 0.3794, recall: 0.8722, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.3689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.868, kappa: 0.033, kb_relative_information_score: -17395.424, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8681, predictive_accuracy: 0.868, prior_entropy: 0.3794, recall: 0.868, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3633, root_relative_squared_error: 1.3911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.864, kappa: 0.0039, kb_relative_information_score: -19437.1515, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8641, predictive_accuracy: 0.864, prior_entropy: 0.3794, recall: 0.864, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3688, root_relative_squared_error: 1.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12403.5885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.8625, kappa: -0.0074, kb_relative_information_score: -20192.5907, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8626, predictive_accuracy: 0.8625, prior_entropy: 0.3794, recall: 0.8625, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.8786, kappa: 0.1098, kb_relative_information_score: -11964.4289, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8785, predictive_accuracy: 0.8786, prior_entropy: 0.3794, recall: 0.8786, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3484, root_relative_squared_error: 1.3339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4862, f_measure: 0.8598, kappa: -0.0277, kb_relative_information_score: -21601.3826, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8598, predictive_accuracy: 0.8597, prior_entropy: 0.3794, recall: 0.8597, relative_absolute_error: 1.0279, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3745, root_relative_squared_error: 1.4339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4863, f_measure: 0.86, kappa: -0.0275, kb_relative_information_score: -21387.0013, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8598, predictive_accuracy: 0.8602, prior_entropy: 0.3794, recall: 0.8602, relative_absolute_error: 1.0249, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.374, root_relative_squared_error: 1.4318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.8602, kappa: -0.0258, kb_relative_information_score: -21295.1235, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.86, predictive_accuracy: 0.8603, prior_entropy: 0.3794, recall: 0.8603, relative_absolute_error: 1.0235, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3737, root_relative_squared_error: 1.4308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5547, f_measure: 0.8781, kappa: 0.1089, kb_relative_information_score: -12362.5658, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8784, predictive_accuracy: 0.8778, prior_entropy: 0.3794, recall: 0.8778, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3495, root_relative_squared_error: 1.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8908, kappa: -0.0004, kb_relative_information_score: 12189.2071, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8613, predictive_accuracy: 0.9259, prior_entropy: 0.3794, recall: 0.9259, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2721, root_relative_squared_error: 1.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.8618, kappa: -0.0127, kb_relative_information_score: -20539.6843, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8618, predictive_accuracy: 0.8618, prior_entropy: 0.3794, recall: 0.8618, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12403.5885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.878, kappa: 0.1051, kb_relative_information_score: -12209.4362, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8779, predictive_accuracy: 0.8781, prior_entropy: 0.3794, recall: 0.8781, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3491, root_relative_squared_error: 1.3365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5664, f_measure: 0.8812, kappa: 0.1321, kb_relative_information_score: -10821.0616, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8816, predictive_accuracy: 0.8809, prior_entropy: 0.3794, recall: 0.8809, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3452, root_relative_squared_error: 1.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.9151, kappa: 0.2623, kb_relative_information_score: 16099.1152, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.92, predictive_accuracy: 0.9336, prior_entropy: 0.3794, recall: 0.9336, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.8633, kappa: -0.0317, kb_relative_information_score: -17660.8486, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8592, predictive_accuracy: 0.8675, prior_entropy: 0.3794, recall: 0.8675, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.8621, kappa: -0.0093, kb_relative_information_score: -20519.2671, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8623, predictive_accuracy: 0.8619, prior_entropy: 0.3794, recall: 0.8619, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.891, kappa: 0.0004, kb_relative_information_score: 12383.1712, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8766, predictive_accuracy: 0.9263, prior_entropy: 0.3794, recall: 0.9263, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.0393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.9136, kappa: 0.2988, kb_relative_information_score: 11066.257, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9083, predictive_accuracy: 0.9237, prior_entropy: 0.3794, recall: 0.9237, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2762, root_relative_squared_error: 1.0573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.8911, kappa: 0.0034, kb_relative_information_score: 12219.833, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8767, predictive_accuracy: 0.926, prior_entropy: 0.3794, recall: 0.926, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.272, root_relative_squared_error: 1.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.8909, kappa: -0.0003, kb_relative_information_score: 12321.9194, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8581, predictive_accuracy: 0.9262, prior_entropy: 0.3794, recall: 0.9262, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5186, f_measure: 0.8685, kappa: 0.0371, kb_relative_information_score: -17181.0426, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8686, predictive_accuracy: 0.8684, prior_entropy: 0.3794, recall: 0.8684, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3628, root_relative_squared_error: 1.3889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.8617, kappa: -0.0103, kb_relative_information_score: -20856.1521, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8622, predictive_accuracy: 0.8612, prior_entropy: 0.3794, recall: 0.8612, relative_absolute_error: 1.0172, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.4264,

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

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

OpenML APIs