OpenML
Supervised Classification on letter

Supervised Classification on letter

Task 6 Supervised Classification letter 35040 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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35040 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8237, kappa: 0.8154, kb_relative_information_score: 8743.0195, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8291, predictive_accuracy: 0.8226, prior_entropy: 4.6998, recall: 0.8226, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.8547, scimark_benchmark: 946.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.5403, kappa: 0.535, kb_relative_information_score: 10226.2431, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.5634, predictive_accuracy: 0.5529, prior_entropy: 4.6998, recall: 0.5529, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.8125, scimark_benchmark: 940.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.0196, kappa: 0.0398, kb_relative_information_score: 2438.0656, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.019, predictive_accuracy: 0.0775, prior_entropy: 4.6998, recall: 0.0775, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8245, kappa: 0.8164, kb_relative_information_score: 13186.9449, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8293, predictive_accuracy: 0.8235, prior_entropy: 4.6998, recall: 0.8235, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.6991, scimark_benchmark: 940.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9554, kappa: 0.9536, kb_relative_information_score: 19213.922, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 4.6998, recall: 0.9554, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.052, root_relative_squared_error: 0.2702, scimark_benchmark: 914.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.0857, kappa: 0.1382, kb_relative_information_score: 3222.7949, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0661, predictive_accuracy: 0.1719, prior_entropy: 4.6998, recall: 0.1719, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2524, root_relative_squared_error: 1.3125, scimark_benchmark: 926.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.105, kappa: 0.1517, kb_relative_information_score: 4685.0393, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.101, predictive_accuracy: 0.1848, prior_entropy: 4.6998, recall: 0.1848, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2149, root_relative_squared_error: 1.1176, scimark_benchmark: 926.2141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8237, kappa: 0.8154, kb_relative_information_score: 8743.0195, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8291, predictive_accuracy: 0.8226, prior_entropy: 4.6998, recall: 0.8226, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.8547, scimark_benchmark: 929.3149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9684, kappa: 0.9671, kb_relative_information_score: 19375.8505, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9687, predictive_accuracy: 0.9684, prior_entropy: 4.6998, recall: 0.9684, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.2529, scimark_benchmark: 945.1898,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9686, kappa: 0.9673, kb_relative_information_score: 19380.8167, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9687, predictive_accuracy: 0.9686, prior_entropy: 4.6998, recall: 0.9686, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.2514, scimark_benchmark: 941.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.7464, kappa: 0.7332, kb_relative_information_score: 15500.9604, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7594, predictive_accuracy: 0.7435, prior_entropy: 4.6998, recall: 0.7435, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.6173, scimark_benchmark: 947.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9168, kappa: 0.9133, kb_relative_information_score: 16754.4045, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.918, predictive_accuracy: 0.9167, prior_entropy: 4.6998, recall: 0.9167, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.4702, scimark_benchmark: 948.4866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9515, kappa: 0.9495, kb_relative_information_score: 18656.3494, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9519, predictive_accuracy: 0.9514, prior_entropy: 4.6998, recall: 0.9514, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.3235, scimark_benchmark: 864.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.5398, kappa: 0.5325, kb_relative_information_score: 11138.1756, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.5551, predictive_accuracy: 0.5506, prior_entropy: 4.6998, recall: 0.5506, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.7973, scimark_benchmark: 941.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9566, kappa: 0.9548, kb_relative_information_score: 4225.241, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9569, predictive_accuracy: 0.9565, prior_entropy: 4.6998, recall: 0.9565, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.9658, scimark_benchmark: 946.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.882, kappa: 0.8768, kb_relative_information_score: 4167.1064, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.885, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.186, root_relative_squared_error: 0.9671, scimark_benchmark: 948.9123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.0109, kappa: 0.0329, kb_relative_information_score: 2445.7166, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0059, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 948.2971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.8569, kappa: 0.851, kb_relative_information_score: 17257.7065, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8575, predictive_accuracy: 0.8568, prior_entropy: 4.6998, recall: 0.8568, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.4877, scimark_benchmark: 947.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.8662, kappa: 0.8597, kb_relative_information_score: 4145.2358, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8715, predictive_accuracy: 0.8652, prior_entropy: 4.6998, recall: 0.8652, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.9675, scimark_benchmark: 947.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.959, kappa: 0.9573, kb_relative_information_score: 18419.9197, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9593, predictive_accuracy: 0.9589, prior_entropy: 4.6998, recall: 0.9589, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.3338, scimark_benchmark: 947.8178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9216, kappa: 0.9183, kb_relative_information_score: 18547.1273, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 4.6998, recall: 0.9215, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.38, scimark_benchmark: 950.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.7332, kappa: 0.7222, kb_relative_information_score: 14443.4891, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7361, predictive_accuracy: 0.7329, prior_entropy: 4.6998, recall: 0.7329, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.12, root_relative_squared_error: 0.6239, scimark_benchmark: 946.5275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.7937, kappa: 0.7849, kb_relative_information_score: 16129.6186, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7949, predictive_accuracy: 0.7932, prior_entropy: 4.6998, recall: 0.7932, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.5604, scimark_benchmark: 947.8449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9446, kappa: 0.9422, kb_relative_information_score: 18767.6476, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9453, predictive_accuracy: 0.9445, prior_entropy: 4.6998, recall: 0.9445, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0626, root_relative_squared_error: 0.3255, scimark_benchmark: 945.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8507, kappa: 0.8443, kb_relative_information_score: 4140.9678, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8529, predictive_accuracy: 0.8503, prior_entropy: 4.6998, recall: 0.8503, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.186, root_relative_squared_error: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9216, kappa: 0.9183, kb_relative_information_score: 18547.1273, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 4.6998, recall: 0.9215, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.38, scimark_benchmark: 948.2037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8576, kappa: 0.8512, kb_relative_information_score: 4140.433, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8612, predictive_accuracy: 0.8569, prior_entropy: 4.6998, recall: 0.8569, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.186, root_relative_squared_error: 0.9674, scimark_benchmark: 945.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9149, kappa: 0.9113, kb_relative_information_score: 17870.4005, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9157, predictive_accuracy: 0.9148, prior_entropy: 4.6998, recall: 0.9148, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.394, scimark_benchmark: 947.5451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9148, kappa: 0.9112, kb_relative_information_score: 17868.3212, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9156, predictive_accuracy: 0.9146, prior_entropy: 4.6998, recall: 0.9146, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.3945, scimark_benchmark: 947.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8543, kappa: 0.8471, kb_relative_information_score: 4129.4307, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8602, predictive_accuracy: 0.853, prior_entropy: 4.6998, recall: 0.853, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.9677, scimark_benchmark: 943.7497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9216, kappa: 0.9183, kb_relative_information_score: 18547.1273, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 4.6998, recall: 0.9215, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.38, scimark_benchmark: 912.2323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8576, kappa: 0.8512, kb_relative_information_score: 4140.433, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8612, predictive_accuracy: 0.8569, prior_entropy: 4.6998, recall: 0.8569, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.186, root_relative_squared_error: 0.9674, scimark_benchmark: 946.7987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8298, kappa: 0.8229, kb_relative_information_score: 16551.7284, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8301, predictive_accuracy: 0.8298, prior_entropy: 4.6998, recall: 0.8298, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.5951, scimark_benchmark: 942.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8771, kappa: 0.872, kb_relative_information_score: 17609.7144, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 4.6998, recall: 0.877, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.4726, scimark_benchmark: 946.5244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8787, kappa: 0.8736, kb_relative_information_score: 17667.6602, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8792, predictive_accuracy: 0.8785, prior_entropy: 4.6998, recall: 0.8785, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.471, scimark_benchmark: 948.8027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9613, kappa: 0.9596, kb_relative_information_score: 4235.0011, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.962, predictive_accuracy: 0.9612, prior_entropy: 4.6998, recall: 0.9612, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9665, scimark_benchmark: 945.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8605, kappa: 0.8547, kb_relative_information_score: 17392.3212, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8609, predictive_accuracy: 0.8603, prior_entropy: 4.6998, recall: 0.8603, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.4805, scimark_benchmark: 945.2136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.0032, kb_relative_information_score: 1.6782, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0017, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 924.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9497, kappa: 0.9476, kb_relative_information_score: 19014.7244, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9504, predictive_accuracy: 0.9496, prior_entropy: 4.6998, recall: 0.9496, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.2974, scimark_benchmark: 947.5825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9009, kappa: 0.8967, kb_relative_information_score: 17781.3792, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9018, predictive_accuracy: 0.9007, prior_entropy: 4.6998, recall: 0.9007, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.4094, scimark_benchmark: 945.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8793, kappa: 0.8334, kb_relative_information_score: 3928.4881, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9514, predictive_accuracy: 0.8399, prior_entropy: 4.6998, recall: 0.8399, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.9709, scimark_benchmark: 948.6424,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.972, kappa: 0.9709, kb_relative_information_score: 0.9767, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9721, predictive_accuracy: 0.972, prior_entropy: 4.6998, recall: 0.972, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0413, root_relative_squared_error: 0.2149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9668, kappa: 0.9654, kb_relative_information_score: 0.9697, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9669, predictive_accuracy: 0.9668, prior_entropy: 4.6998, recall: 0.9668, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9668, kappa: 0.9654, kb_relative_information_score: 0.9697, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9669, predictive_accuracy: 0.9668, prior_entropy: 4.6998, recall: 0.9668, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9668, kappa: 0.9654, kb_relative_information_score: 0.9697, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9669, predictive_accuracy: 0.9668, prior_entropy: 4.6998, recall: 0.9668, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9668, kappa: 0.9654, kb_relative_information_score: 0.9697, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9669, predictive_accuracy: 0.9668, prior_entropy: 4.6998, recall: 0.9668, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9688, kappa: 0.9675, kb_relative_information_score: 0.9727, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9689, predictive_accuracy: 0.9688, prior_entropy: 4.6998, recall: 0.9688, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0429, root_relative_squared_error: 0.2232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8822, kappa: 0.877, kb_relative_information_score: 0.8248, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8842, predictive_accuracy: 0.8817, prior_entropy: 4.6998, recall: 0.8817, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.4728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8822, kappa: 0.877, kb_relative_information_score: 0.8248, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8842, predictive_accuracy: 0.8817, prior_entropy: 4.6998, recall: 0.8817, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.4728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 0.9595, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9601, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.2531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 0.9595, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9601, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.2531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 0.9595, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9601, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.2531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 0.9595, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9601, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.2531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9547, kappa: 0.9529, kb_relative_information_score: 0.9623, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9548, predictive_accuracy: 0.9547, prior_entropy: 4.6998, recall: 0.9547, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.2701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8976, kappa: 0.8934, kb_relative_information_score: 0.888, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8985, predictive_accuracy: 0.8975, prior_entropy: 4.6998, recall: 0.8975, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.4074,

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

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