Task
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: 0.5, kb_relative_information_score: -422851.8752, mean_absolute_error: 0.9264, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.0736, prior_entropy: 0.3794, recall: 0.0736, relative_absolute_error: 6.7891, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.9625, root_relative_squared_error: 3.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, kb_relative_information_score: -4867.2714, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -422851.8752, mean_absolute_error: 0.9264, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.0736, prior_entropy: 0.3794, recall: 0.0736, relative_absolute_error: 6.7891, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.9625, root_relative_squared_error: 3.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -422851.8752, mean_absolute_error: 0.9264, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.0736, prior_entropy: 0.3794, recall: 0.0736, relative_absolute_error: 6.7891, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.9625, root_relative_squared_error: 3.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, kb_relative_information_score: -7138.1601, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.261, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5236, kb_relative_information_score: -4513.295, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, kb_relative_information_score: -4333.3936, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, kb_relative_information_score: -4882.0579, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -422851.8752, mean_absolute_error: 0.9264, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.0736, prior_entropy: 0.3794, recall: 0.0736, relative_absolute_error: 6.7891, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.9625, root_relative_squared_error: 3.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -422851.8752, mean_absolute_error: 0.9264, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.0736, prior_entropy: 0.3794, recall: 0.0736, relative_absolute_error: 6.7891, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.9625, root_relative_squared_error: 3.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -422851.8752, mean_absolute_error: 0.9264, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.0736, prior_entropy: 0.3794, recall: 0.0736, relative_absolute_error: 6.7891, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.9625, root_relative_squared_error: 3.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 2.8122, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -0.4782, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, kb_relative_information_score: -196.9165, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, kb_relative_information_score: -14703.2879, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0342, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.262, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, kb_relative_information_score: -7201.8258, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2615, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, kb_relative_information_score: -12695.0983, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0204, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2619, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.7788, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5403, kb_relative_information_score: -7364.8067, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.261, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kb_relative_information_score: -174.6779, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -422851.8752, mean_absolute_error: 0.9264, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.0736, prior_entropy: 0.3794, recall: 0.0736, relative_absolute_error: 6.7891, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.9625, root_relative_squared_error: 3.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kb_relative_information_score: -237.1976, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -218.5026, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kb_relative_information_score: -216.7279, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, kb_relative_information_score: -4383.361, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5389, kb_relative_information_score: -7744.8588, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.261, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -422851.8752, mean_absolute_error: 0.9264, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.0736, prior_entropy: 0.3794, recall: 0.0736, relative_absolute_error: 6.7891, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.9625, root_relative_squared_error: 3.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -236.1419, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -422851.8752, mean_absolute_error: 0.9264, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.0736, prior_entropy: 0.3794, recall: 0.0736, relative_absolute_error: 6.7891, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.9625, root_relative_squared_error: 3.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kb_relative_information_score: -223.5442, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, kb_relative_information_score: -4051.5999, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -422851.8752, mean_absolute_error: 0.9264, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.0736, prior_entropy: 0.3794, recall: 0.0736, relative_absolute_error: 6.7891, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.9625, root_relative_squared_error: 3.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kb_relative_information_score: -221.3957, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -422851.8752, mean_absolute_error: 0.9264, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.0736, prior_entropy: 0.3794, recall: 0.0736, relative_absolute_error: 6.7891, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.9625, root_relative_squared_error: 3.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kb_relative_information_score: -238.6479, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5382, kb_relative_information_score: -7087.3003, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.261, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, kb_relative_information_score: -225.0013, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, kb_relative_information_score: -4661.5425, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -422851.8752, mean_absolute_error: 0.9264, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.0736, prior_entropy: 0.3794, recall: 0.0736, relative_absolute_error: 6.7891, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.9625, root_relative_squared_error: 3.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, kb_relative_information_score: -4767.5949, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kb_relative_information_score: -224.2881, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -422851.8752, mean_absolute_error: 0.9264, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.0736, prior_entropy: 0.3794, recall: 0.0736, relative_absolute_error: 6.7891, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.9625, root_relative_squared_error: 3.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.9436, kappa: 0.5375, kb_relative_information_score: -249732.1765, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9464, predictive_accuracy: 0.9511, prior_entropy: 0.3794, recall: 0.9511, relative_absolute_error: 2.7258, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3814, root_relative_squared_error: 1.4604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.9316, kappa: 0.4196, kb_relative_information_score: -188823.9875, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9385, predictive_accuracy: 0.944, prior_entropy: 0.3794, recall: 0.944, relative_absolute_error: 2.1141, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.317, root_relative_squared_error: 1.2138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.9207, kappa: 0.3729, kb_relative_information_score: -284606.6971, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9168, predictive_accuracy: 0.9274, prior_entropy: 0.3794, recall: 0.9274, relative_absolute_error: 3.2342, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.4459, root_relative_squared_error: 1.7074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.9294, kappa: 0.4205, kb_relative_information_score: -233842.8756, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9285, predictive_accuracy: 0.9387, prior_entropy: 0.3794, recall: 0.9387, relative_absolute_error: 2.6065, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3748, root_relative_squared_error: 1.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, kb_relative_information_score: -4687.1823, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.9344, kappa: 0.4491, kb_relative_information_score: -302324.1854, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.939, predictive_accuracy: 0.9451, prior_entropy: 0.3794, recall: 0.9451, relative_absolute_error: 3.5119, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.9443, kappa: 0.5464, kb_relative_information_score: -296597.6167, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9459, predictive_accuracy: 0.951, prior_entropy: 0.3794, recall: 0.951, relative_absolute_error: 3.4097, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.4658, root_relative_squared_error: 1.7833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.8373, kappa: 0.0658, kb_relative_information_score: -306787.4869, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8742, predictive_accuracy: 0.8073, prior_entropy: 0.3794, recall: 0.8073, relative_absolute_error: 3.5945, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.8783,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.9351, kappa: 0.4531, kb_relative_information_score: -110274.6141, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9412, predictive_accuracy: 0.9461, prior_entropy: 0.3794, recall: 0.9461, relative_absolute_error: 1.5225, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2667, root_relative_squared_error: 1.0211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.9437, kappa: 0.5379, kb_relative_information_score: -254962.7298, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9465, predictive_accuracy: 0.9511, prior_entropy: 0.3794, recall: 0.9511, relative_absolute_error: 2.7935, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.3893, root_relative_squared_error: 1.4904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.9433, kappa: 0.5359, kb_relative_information_score: -265702.0517, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9456, predictive_accuracy: 0.9506, prior_entropy: 0.3794, recall: 0.9506, relative_absolute_error: 2.9469, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.4087, root_relative_squared_error: 1.5647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.9359, kappa: 0.4599, kb_relative_information_score: -299179.8831, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9424, predictive_accuracy: 0.9468, prior_entropy: 0.3794, recall: 0.9468, relative_absolute_error: 3.4548, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.8061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.9286, kappa: 0.4096, kb_relative_information_score: -269119.4973, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9284, predictive_accuracy: 0.9388, prior_entropy: 0.3794, recall: 0.9388, relative_absolute_error: 3.0053, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.4174, root_relative_squared_error: 1.5982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.9443, kappa: 0.5446, kb_relative_information_score: 6529.001, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9466, predictive_accuracy: 0.9513, prior_entropy: 0.3794, recall: 0.9513, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8031,

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

OpenML bootcamp

From your own software

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

OpenML APIs