OpenML
Supervised Classification on cylinder-bands

Supervised Classification on cylinder-bands

Task 14954 Supervised Classification cylinder-bands 6644 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7901, kappa: 0.5672, kb_relative_information_score: 0.2962, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7944, number_of_instances: 540, precision: 0.7976, predictive_accuracy: 0.7944, prior_entropy: 0.9825, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8035, unweighted_recall: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8355, kappa: 0.6612, kb_relative_information_score: 0.4712, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4879, weighted_recall: 0.837, number_of_instances: 540, precision: 0.8375, predictive_accuracy: 0.837, prior_entropy: 0.9825, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6975, unweighted_recall: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7818, kappa: 0.5509, kb_relative_information_score: 0.4393, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7833, number_of_instances: 540, precision: 0.7823, predictive_accuracy: 0.7833, prior_entropy: 0.9825, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7871, unweighted_recall: 0.7724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8347, kappa: 0.6591, kb_relative_information_score: 0.3781, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4879, weighted_recall: 0.837, number_of_instances: 540, precision: 0.8394, predictive_accuracy: 0.837, prior_entropy: 0.9825, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7451, unweighted_recall: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8017, kappa: 0.5914, kb_relative_information_score: 0.4451, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8037, number_of_instances: 540, precision: 0.8036, predictive_accuracy: 0.8037, prior_entropy: 0.9825, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7605, unweighted_recall: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7444, kappa: 0.4755, kb_relative_information_score: 0.2064, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7556, number_of_instances: 540, precision: 0.7674, predictive_accuracy: 0.7556, prior_entropy: 0.9825, relative_absolute_error: 0.8309, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8599, unweighted_recall: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8236, kappa: 0.6363, kb_relative_information_score: 0.4057, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8259, number_of_instances: 540, precision: 0.8274, predictive_accuracy: 0.8259, prior_entropy: 0.9825, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7343, unweighted_recall: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8075, kappa: 0.603, kb_relative_information_score: 0.3996, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8111, number_of_instances: 540, precision: 0.8144, predictive_accuracy: 0.8111, prior_entropy: 0.9825, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7448, unweighted_recall: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8048, kappa: 0.5977, kb_relative_information_score: 0.3735, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8074, number_of_instances: 540, precision: 0.8082, predictive_accuracy: 0.8074, prior_entropy: 0.9825, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7577, unweighted_recall: 0.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8173, kappa: 0.6232, kb_relative_information_score: 0.3774, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8204, number_of_instances: 540, precision: 0.8233, predictive_accuracy: 0.8204, prior_entropy: 0.9825, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7571, unweighted_recall: 0.8044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7994, kappa: 0.5864, kb_relative_information_score: 0.3372, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8037, number_of_instances: 540, precision: 0.8077, predictive_accuracy: 0.8037, prior_entropy: 0.9825, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.78, unweighted_recall: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8384, kappa: 0.6669, kb_relative_information_score: 0.3777, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8407, number_of_instances: 540, precision: 0.8432, predictive_accuracy: 0.8407, prior_entropy: 0.9825, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7453, unweighted_recall: 0.8268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.7978, kappa: 0.5832, kb_relative_information_score: 0.456, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8, number_of_instances: 540, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9825, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7286, unweighted_recall: 0.7868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8275, kappa: 0.6445, kb_relative_information_score: 0.3983, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8296, number_of_instances: 540, precision: 0.8308, predictive_accuracy: 0.8296, prior_entropy: 0.9825, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7379, unweighted_recall: 0.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.6966, kappa: 0.3931, kb_relative_information_score: 0.1405, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7259, number_of_instances: 540, precision: 0.7737, predictive_accuracy: 0.7259, prior_entropy: 0.9825, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9034, unweighted_recall: 0.6819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.7921, kappa: 0.5714, kb_relative_information_score: 0.3415, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7963, number_of_instances: 540, precision: 0.7993, predictive_accuracy: 0.7963, prior_entropy: 0.9825, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7803, unweighted_recall: 0.7783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8347, kappa: 0.6591, kb_relative_information_score: 0.3781, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4879, weighted_recall: 0.837, number_of_instances: 540, precision: 0.8394, predictive_accuracy: 0.837, prior_entropy: 0.9825, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.368, root_relative_squared_error: 0.745, unweighted_recall: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8367, kappa: 0.6632, kb_relative_information_score: 0.3619, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8389, number_of_instances: 540, precision: 0.8411, predictive_accuracy: 0.8389, prior_entropy: 0.9825, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7539, unweighted_recall: 0.8252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7479, kappa: 0.4817, kb_relative_information_score: 0.1835, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7574, number_of_instances: 540, precision: 0.766, predictive_accuracy: 0.7574, prior_entropy: 0.9825, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.433, root_relative_squared_error: 0.8768, unweighted_recall: 0.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8064, kappa: 0.6008, kb_relative_information_score: 0.4034, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8093, number_of_instances: 540, precision: 0.8107, predictive_accuracy: 0.8093, prior_entropy: 0.9825, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7474, unweighted_recall: 0.7942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8075, kappa: 0.603, kb_relative_information_score: 0.3697, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8111, number_of_instances: 540, precision: 0.8144, predictive_accuracy: 0.8111, prior_entropy: 0.9825, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7573, unweighted_recall: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8092, kappa: 0.6068, kb_relative_information_score: 0.4401, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8111, number_of_instances: 540, precision: 0.8112, predictive_accuracy: 0.8111, prior_entropy: 0.9825, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7265, unweighted_recall: 0.7988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8057, kappa: 0.5994, kb_relative_information_score: 0.3477, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8093, number_of_instances: 540, precision: 0.8122, predictive_accuracy: 0.8093, prior_entropy: 0.9825, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7669, unweighted_recall: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8234, kappa: 0.6359, kb_relative_information_score: 0.376, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8259, number_of_instances: 540, precision: 0.8278, predictive_accuracy: 0.8259, prior_entropy: 0.9825, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7474, unweighted_recall: 0.8116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7371, kappa: 0.4583, kb_relative_information_score: 0.2507, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7444, number_of_instances: 540, precision: 0.7471, predictive_accuracy: 0.7444, prior_entropy: 0.9825, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8474, unweighted_recall: 0.7216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8254, kappa: 0.64, kb_relative_information_score: 0.3657, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8278, number_of_instances: 540, precision: 0.8295, predictive_accuracy: 0.8278, prior_entropy: 0.9825, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7517, unweighted_recall: 0.8138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.805, kappa: 0.5981, kb_relative_information_score: 0.402, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8074, number_of_instances: 540, precision: 0.8079, predictive_accuracy: 0.8074, prior_entropy: 0.9825, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7438, unweighted_recall: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.7966, kappa: 0.5807, kb_relative_information_score: 0.3806, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8, number_of_instances: 540, precision: 0.8017, predictive_accuracy: 0.8, prior_entropy: 0.9825, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7587, unweighted_recall: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.742, kappa: 0.4681, kb_relative_information_score: 0.2967, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7481, number_of_instances: 540, precision: 0.7496, predictive_accuracy: 0.7481, prior_entropy: 0.9825, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8168, unweighted_recall: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8243, kappa: 0.6381, kb_relative_information_score: 0.4636, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8259, number_of_instances: 540, precision: 0.8261, predictive_accuracy: 0.8259, prior_entropy: 0.9825, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7106, unweighted_recall: 0.8145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8334, kappa: 0.6567, kb_relative_information_score: 0.4405, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8352, number_of_instances: 540, precision: 0.836, predictive_accuracy: 0.8352, prior_entropy: 0.9825, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7126, unweighted_recall: 0.8231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7993, kappa: 0.5876, kb_relative_information_score: 0.3754, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8, number_of_instances: 540, precision: 0.7992, predictive_accuracy: 0.8, prior_entropy: 0.9825, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.7811, unweighted_recall: 0.7921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.811, kappa: 0.6103, kb_relative_information_score: 0.3714, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8148, number_of_instances: 540, precision: 0.8189, predictive_accuracy: 0.8148, prior_entropy: 0.9825, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7558, unweighted_recall: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.7962, kappa: 0.5801, kb_relative_information_score: 0.4672, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7981, number_of_instances: 540, precision: 0.7978, predictive_accuracy: 0.7981, prior_entropy: 0.9825, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7302, unweighted_recall: 0.7858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8017, kappa: 0.5914, kb_relative_information_score: 0.4499, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8037, number_of_instances: 540, precision: 0.8036, predictive_accuracy: 0.8037, prior_entropy: 0.9825, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7249, unweighted_recall: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8115, kappa: 0.6113, kb_relative_information_score: 0.3733, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8148, number_of_instances: 540, precision: 0.8177, predictive_accuracy: 0.8148, prior_entropy: 0.9825, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7593, unweighted_recall: 0.7984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8222, kappa: 0.6336, kb_relative_information_score: 0.4537, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8241, number_of_instances: 540, precision: 0.8246, predictive_accuracy: 0.8241, prior_entropy: 0.9825, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7144, unweighted_recall: 0.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8347, kappa: 0.6591, kb_relative_information_score: 0.3781, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4879, weighted_recall: 0.837, number_of_instances: 540, precision: 0.8394, predictive_accuracy: 0.837, prior_entropy: 0.9825, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.368, root_relative_squared_error: 0.745, unweighted_recall: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7592, kappa: 0.5042, kb_relative_information_score: 0.4488, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7611, number_of_instances: 540, precision: 0.7597, predictive_accuracy: 0.7611, prior_entropy: 0.9825, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8133, unweighted_recall: 0.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8347, kappa: 0.6591, kb_relative_information_score: 0.3781, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4879, weighted_recall: 0.837, number_of_instances: 540, precision: 0.8394, predictive_accuracy: 0.837, prior_entropy: 0.9825, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.368, root_relative_squared_error: 0.745, unweighted_recall: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7922, kappa: 0.5734, kb_relative_information_score: 0.3726, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7926, number_of_instances: 540, precision: 0.792, predictive_accuracy: 0.7926, prior_entropy: 0.9825, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7838, unweighted_recall: 0.7857,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.6359, kappa: 0.2529, kb_relative_information_score: 0.1186, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.4879, weighted_recall: 0.6519, number_of_instances: 540, precision: 0.6479, predictive_accuracy: 0.6519, prior_entropy: 0.9825, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9439, unweighted_recall: 0.6208,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8253, kappa: 0.6411, kb_relative_information_score: 0.4744, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8259, number_of_instances: 540, precision: 0.8253, predictive_accuracy: 0.8259, prior_entropy: 0.9825, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7346, unweighted_recall: 0.8187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7325, kappa: 0.4545, kb_relative_information_score: 0.2749, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7315, number_of_instances: 540, precision: 0.7345, predictive_accuracy: 0.7315, prior_entropy: 0.9825, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8751, unweighted_recall: 0.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7995, kappa: 0.5868, kb_relative_information_score: 0.4299, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8019, number_of_instances: 540, precision: 0.802, predictive_accuracy: 0.8019, prior_entropy: 0.9825, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7564, unweighted_recall: 0.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7618, kappa: 0.509, kb_relative_information_score: 0.3112, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7648, number_of_instances: 540, precision: 0.764, predictive_accuracy: 0.7648, prior_entropy: 0.9825, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8325, unweighted_recall: 0.7498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7577, kappa: 0.5013, kb_relative_information_score: 0.3499, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7593, number_of_instances: 540, precision: 0.7578, predictive_accuracy: 0.7593, prior_entropy: 0.9825, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8211, unweighted_recall: 0.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7485, kappa: 0.4814, kb_relative_information_score: 0.2573, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7537, number_of_instances: 540, precision: 0.7544, predictive_accuracy: 0.7537, prior_entropy: 0.9825, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8586, unweighted_recall: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7348, kappa: 0.4539, kb_relative_information_score: 0.3105, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4879, weighted_recall: 0.737, number_of_instances: 540, precision: 0.7352, predictive_accuracy: 0.737, prior_entropy: 0.9825, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8448, unweighted_recall: 0.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6066, f_measure: 0.4356, kappa: 0.0152, kb_relative_information_score: 0.0055, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4879, weighted_recall: 0.5833, number_of_instances: 540, precision: 0.7579, predictive_accuracy: 0.5833, prior_entropy: 0.9825, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9961, unweighted_recall: 0.5066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7568, kappa: 0.4989, kb_relative_information_score: 0.2993, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7593, number_of_instances: 540, precision: 0.758, predictive_accuracy: 0.7593, prior_entropy: 0.9825, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8516, unweighted_recall: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7266, kappa: 0.4416, kb_relative_information_score: 0.2835, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7259, number_of_instances: 540, precision: 0.7278, predictive_accuracy: 0.7259, prior_entropy: 0.9825, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8701, unweighted_recall: 0.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.7889, kappa: 0.5652, kb_relative_information_score: 0.3863, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7907, number_of_instances: 540, precision: 0.79, predictive_accuracy: 0.7907, prior_entropy: 0.9825, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7866, unweighted_recall: 0.7788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8271, kappa: 0.6447, kb_relative_information_score: 0.4848, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8278, number_of_instances: 540, precision: 0.8272, predictive_accuracy: 0.8278, prior_entropy: 0.9825, relative_absolute_error: 0.5454, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7248, unweighted_recall: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7421, kappa: 0.4687, kb_relative_information_score: 0.3227, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7444, number_of_instances: 540, precision: 0.7427, predictive_accuracy: 0.7444, prior_entropy: 0.9825, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8358, unweighted_recall: 0.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.7836, kappa: 0.5538, kb_relative_information_score: 0.4216, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4879, weighted_recall: 0.787, number_of_instances: 540, precision: 0.788, predictive_accuracy: 0.787, prior_entropy: 0.9825, relative_absolute_error: 0.6073, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.767, unweighted_recall: 0.7708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8013, kappa: 0.5917, kb_relative_information_score: 0.4529, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4879, weighted_recall: 0.8019, number_of_instances: 540, precision: 0.8011, predictive_accuracy: 0.8019, prior_entropy: 0.9825, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7508, unweighted_recall: 0.7943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7967, kappa: 0.5816, kb_relative_information_score: 0.423, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7981, number_of_instances: 540, precision: 0.7974, predictive_accuracy: 0.7981, prior_entropy: 0.9825, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7693, unweighted_recall: 0.7875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5387, f_measure: 0.4223, kappa: -0.0037, kb_relative_information_score: -0.001, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4879, weighted_recall: 0.5759, number_of_instances: 540, precision: 0.3334, predictive_accuracy: 0.5759, prior_entropy: 0.9825, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0016, unweighted_recall: 0.4984,

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

OpenML APIs