OpenML
Supervised Classification on SPECTF

Supervised Classification on SPECTF

Task 3496 Supervised Classification SPECTF 535 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.855, kappa: 0.6372, kb_relative_information_score: 183.6219, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8566, predictive_accuracy: 0.8539, prior_entropy: 0.8464, recall: 0.8539, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.7244, scimark_benchmark: 936.7184, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.855, kappa: 0.6372, kb_relative_information_score: 183.6219, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8566, predictive_accuracy: 0.8539, prior_entropy: 0.8464, recall: 0.8539, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.7244, scimark_benchmark: 926.5859, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8458, kappa: 0.612, kb_relative_information_score: 176.0501, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8463, predictive_accuracy: 0.8453, prior_entropy: 0.8464, recall: 0.8453, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.7299, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4822, f_measure: 0.6131, kb_relative_information_score: -0.6214, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4451, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8483, kappa: 0.6111, kb_relative_information_score: 197.1724, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8473, predictive_accuracy: 0.851, prior_entropy: 0.8464, recall: 0.851, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7946, scimark_benchmark: 938.3115, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.7967, kappa: 0.4751, kb_relative_information_score: 162.9428, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7945, predictive_accuracy: 0.8023, prior_entropy: 0.8464, recall: 0.8023, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.9049, scimark_benchmark: 936.1714, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7592, kappa: 0.3648, kb_relative_information_score: 130.8201, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7603, predictive_accuracy: 0.7765, prior_entropy: 0.8464, recall: 0.7765, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9586, scimark_benchmark: 938.3115, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.7568, kappa: 0.3696, kb_relative_information_score: 113.7412, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7531, predictive_accuracy: 0.765, prior_entropy: 0.8464, recall: 0.765, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9601, scimark_benchmark: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.7166, kappa: 0.2506, kb_relative_information_score: 85.1557, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7132, predictive_accuracy: 0.7393, prior_entropy: 0.8464, recall: 0.7393, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9983, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6131, kb_relative_information_score: 86.591, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.5297, predictive_accuracy: 0.7278, prior_entropy: 0.8464, recall: 0.7278, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.1722, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8495, kappa: 0.6336, kb_relative_information_score: 192.6249, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8595, predictive_accuracy: 0.8453, prior_entropy: 0.8464, recall: 0.8453, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8744, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9048, kappa: 0.7664, kb_relative_information_score: 174.516, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9112, predictive_accuracy: 0.9026, prior_entropy: 0.8464, recall: 0.9026, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.6235, scimark_benchmark: 845.538, usercpu_time_millis: 830, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7277, kappa: 0.2729, kb_relative_information_score: 53.5092, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7541, predictive_accuracy: 0.7679, prior_entropy: 0.8464, recall: 0.7679, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8808, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8177, kappa: 0.5521, kb_relative_information_score: 149.8155, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8249, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8641, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8441, kappa: 0.6112, kb_relative_information_score: 143.22, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8466, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.7344, scimark_benchmark: 934.1885, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8289, kappa: 0.5633, kb_relative_information_score: 156.2274, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8276, predictive_accuracy: 0.8309, prior_entropy: 0.8464, recall: 0.8309, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.7452, scimark_benchmark: 934.7585, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9497, kappa: 0.8698, kb_relative_information_score: 301.4233, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9543, predictive_accuracy: 0.9513, prior_entropy: 0.8464, recall: 0.9513, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4959, scimark_benchmark: 946.8777, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 922.5036, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 945.0194, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 935.627, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8541, kappa: 0.6324, kb_relative_information_score: 147.6042, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8544, predictive_accuracy: 0.8539, prior_entropy: 0.8464, recall: 0.8539, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.7142, scimark_benchmark: 946.9304, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8844, kappa: 0.7139, kb_relative_information_score: 185.4365, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8883, predictive_accuracy: 0.8825, prior_entropy: 0.8464, recall: 0.8825, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6801, scimark_benchmark: 952.4682, usercpu_time_millis: 2150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 952.4682, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8933, kappa: 0.7373, kb_relative_information_score: 219.5292, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8987, predictive_accuracy: 0.8911, prior_entropy: 0.8464, recall: 0.8911, relative_absolute_error: 0.3634, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6938, scimark_benchmark: 928.8135, usercpu_time_millis: 1930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9291, kappa: 0.8233, kb_relative_information_score: 196.5862, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9308, predictive_accuracy: 0.9284, prior_entropy: 0.8464, recall: 0.9284, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5729, scimark_benchmark: 949.7766, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8177, kappa: 0.5521, kb_relative_information_score: 149.8155, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8249, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8641, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9497, kappa: 0.8698, kb_relative_information_score: 301.4233, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9543, predictive_accuracy: 0.9513, prior_entropy: 0.8464, recall: 0.9513, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4959, scimark_benchmark: 1316.7101, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8011, kappa: 0.5455, kb_relative_information_score: 141.8164, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8421, predictive_accuracy: 0.7908, prior_entropy: 0.8464, recall: 0.7908, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.982, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9497, kappa: 0.8698, kb_relative_information_score: 301.4233, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9543, predictive_accuracy: 0.9513, prior_entropy: 0.8464, recall: 0.9513, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4959, scimark_benchmark: 1322.5413, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1335.974, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 926.6704, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9497, kappa: 0.8698, kb_relative_information_score: 301.4233, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9543, predictive_accuracy: 0.9513, prior_entropy: 0.8464, recall: 0.9513, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4959, scimark_benchmark: 1346.2927, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 908.2231, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8177, kappa: 0.5521, kb_relative_information_score: 149.8155, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8249, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8641, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.8032, kappa: 0.5059, kb_relative_information_score: 158.2018, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8043, predictive_accuracy: 0.8023, prior_entropy: 0.8464, recall: 0.8023, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.999, scimark_benchmark: 1371.9645, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8177, kappa: 0.5521, kb_relative_information_score: 149.8155, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8249, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8641, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8011, kappa: 0.5455, kb_relative_information_score: 141.8164, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8421, predictive_accuracy: 0.7908, prior_entropy: 0.8464, recall: 0.7908, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.982, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.5883, kb_relative_information_score: 167.7233, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8555, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8653, scimark_benchmark: 1354.7191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8289, kappa: 0.5633, kb_relative_information_score: 156.2274, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8276, predictive_accuracy: 0.8309, prior_entropy: 0.8464, recall: 0.8309, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.7452, scimark_benchmark: 1339.8573, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8441, kappa: 0.6112, kb_relative_information_score: 143.22, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8466, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.7344, scimark_benchmark: 1328.941, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8289, kappa: 0.5633, kb_relative_information_score: 156.2274, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8276, predictive_accuracy: 0.8309, prior_entropy: 0.8464, recall: 0.8309, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.7452, scimark_benchmark: 916.6405, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8289, kappa: 0.5633, kb_relative_information_score: 156.2274, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8276, predictive_accuracy: 0.8309, prior_entropy: 0.8464, recall: 0.8309, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.7452, scimark_benchmark: 1320.9026, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8918, kappa: 0.7224, kb_relative_information_score: 144.2458, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.892, predictive_accuracy: 0.894, prior_entropy: 0.8464, recall: 0.894, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6916, scimark_benchmark: 1347.5461, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8498, kappa: 0.6254, kb_relative_information_score: 190.6273, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8522, predictive_accuracy: 0.8481, prior_entropy: 0.8464, recall: 0.8481, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6853, scimark_benchmark: 943.1756, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8177, kappa: 0.5521, kb_relative_information_score: 149.8155, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8249, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8641, scimark_benchmark: 922.1419, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.869, kappa: 0.6646, kb_relative_information_score: 145.8569, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8683, predictive_accuracy: 0.8711, prior_entropy: 0.8464, recall: 0.8711, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.704, scimark_benchmark: 1323.7742, usercpu_time_millis: 800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8289, kappa: 0.5633, kb_relative_information_score: 156.2274, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8276, predictive_accuracy: 0.8309, prior_entropy: 0.8464, recall: 0.8309, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.7452, scimark_benchmark: 1342.4239, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8717, kappa: 0.6778, kb_relative_information_score: 142.1178, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8724, predictive_accuracy: 0.8711, prior_entropy: 0.8464, recall: 0.8711, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.7195, scimark_benchmark: 854.5188, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8011, kappa: 0.5455, kb_relative_information_score: 141.8164, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8421, predictive_accuracy: 0.7908, prior_entropy: 0.8464, recall: 0.7908, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.982, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8177, kappa: 0.5521, kb_relative_information_score: 149.8155, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8249, predictive_accuracy: 0.8138, prior_entropy: 0.8464, recall: 0.8138, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8641, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8775, kappa: 0.6859, kb_relative_information_score: 141.8448, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8771, predictive_accuracy: 0.8797, prior_entropy: 0.8464, recall: 0.8797, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6976, scimark_benchmark: 1346.2133, usercpu_time_millis: 550, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.8488, kappa: 0.629, kb_relative_information_score: 195.703, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8561, predictive_accuracy: 0.8453, prior_entropy: 0.8464, recall: 0.8453, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.8615, scimark_benchmark: 1314.0383, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.7095, kappa: 0.252, kb_relative_information_score: 75.574, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7046, predictive_accuracy: 0.7163, prior_entropy: 0.8464, recall: 0.7163, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.1966, scimark_benchmark: 1340.4336, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.8116, kappa: 0.5354, kb_relative_information_score: 154.3648, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8176, predictive_accuracy: 0.808, prior_entropy: 0.8464, recall: 0.808, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.8401, scimark_benchmark: 1353.2625, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7109, kappa: 0.2337, kb_relative_information_score: 47.7787, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7079, predictive_accuracy: 0.7364, prior_entropy: 0.8464, recall: 0.7364, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.9199, scimark_benchmark: 1328.941, usercpu_time_millis: 920, usercpu_time_millis_testing: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8441, kappa: 0.6112, kb_relative_information_score: 143.22, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8466, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.7344, scimark_benchmark: 904.3681, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8441, kappa: 0.6112, kb_relative_information_score: 143.22, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8466, predictive_accuracy: 0.8424, prior_entropy: 0.8464, recall: 0.8424, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.7344, scimark_benchmark: 1302.224, usercpu_time_millis: 60, usercpu_time_millis_training: 60,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs