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OpenML
Task
Supervised Classification on SPECTF

Supervised Classification on SPECTF

Task 3496 Supervised Classification SPECTF 535 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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535 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7367, kappa: 0.383, kb_relative_information_score: 92.3711, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7652, predictive_accuracy: 0.7249, prior_entropy: 0.8464, recall: 0.7249, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.9321, scimark_benchmark: 889.3151, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, f_measure: 0.7277, kappa: 0.273, kb_relative_information_score: 127.9049, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7622, predictive_accuracy: 0.7708, prior_entropy: 0.8464, recall: 0.7708, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0757, scimark_benchmark: 1318.1432, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 939.5088, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.8127, kappa: 0.532, kb_relative_information_score: 166.4646, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8149, predictive_accuracy: 0.8109, prior_entropy: 0.8464, recall: 0.8109, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.977, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8031, kappa: 0.4983, kb_relative_information_score: 123.051, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8016, predictive_accuracy: 0.8052, prior_entropy: 0.8464, recall: 0.8052, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8038, scimark_benchmark: 1363.434, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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: 942.9708, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, 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: 933.3136, usercpu_time_millis: 1580, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1520,
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: 1368.9272, usercpu_time_millis: 2010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2000,
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: 1298.285, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8651, kappa: 0.6804, kb_relative_information_score: 213.287, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8865, predictive_accuracy: 0.8596, prior_entropy: 0.8464, recall: 0.8596, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.8418, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7824, kappa: 0.4592, kb_relative_information_score: 107.9244, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.7865, predictive_accuracy: 0.7794, prior_entropy: 0.8464, recall: 0.7794, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.9251, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8338, kappa: 0.5806, kb_relative_information_score: 178.3363, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8338, predictive_accuracy: 0.8338, prior_entropy: 0.8464, recall: 0.8338, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.841, scimark_benchmark: 1361.1055, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.9102, kappa: 0.7788, kb_relative_information_score: 260.1094, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9153, predictive_accuracy: 0.9083, prior_entropy: 0.8464, recall: 0.9083, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6803, scimark_benchmark: 1313.9994, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, f_measure: 0.4623, kappa: 0.1738, kb_relative_information_score: -153.0296, mean_absolute_error: 0.5215, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.811, predictive_accuracy: 0.4785, prior_entropy: 0.8464, recall: 0.4785, relative_absolute_error: 1.3142, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.7221, root_relative_squared_error: 1.6224, scimark_benchmark: 1384.4418, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8554, kappa: 0.6494, kb_relative_information_score: 201.1444, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8669, predictive_accuracy: 0.851, prior_entropy: 0.8464, recall: 0.851, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.8575, scimark_benchmark: 1384.4418, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.6827, kappa: 0.1735, kb_relative_information_score: 56.2942, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.6746, predictive_accuracy: 0.6963, prior_entropy: 0.8464, recall: 0.6963, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.2382, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8646, kappa: 0.6766, kb_relative_information_score: 212.3605, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.882, predictive_accuracy: 0.8596, prior_entropy: 0.8464, recall: 0.8596, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.8123, scimark_benchmark: 917.4321, usercpu_time_millis: 45680, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 45640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.8052, kappa: 0.5082, kb_relative_information_score: 160.9561, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8052, predictive_accuracy: 0.8052, prior_entropy: 0.8464, recall: 0.8052, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9917, scimark_benchmark: 1363.434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1505.597,
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: 1505.597, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7257, kappa: 0.4409, kb_relative_information_score: 20.2846, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8415, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4495, root_relative_squared_error: 1.01, scimark_benchmark: 945.7621, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7257, kappa: 0.4409, kb_relative_information_score: 20.2846, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8415, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4495, root_relative_squared_error: 1.01, scimark_benchmark: 943.2817, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7257, kappa: 0.4409, kb_relative_information_score: 20.2846, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8415, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4495, root_relative_squared_error: 1.01, scimark_benchmark: 943.2817, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7257, kappa: 0.4409, kb_relative_information_score: 20.2846, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8415, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4495, root_relative_squared_error: 1.01, scimark_benchmark: 943.2817, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, 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: 911.3823, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
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: 936.6206, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
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: 945.6434, 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: 938.2848, 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: 938.4285, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8914, kappa: 0.7362, kb_relative_information_score: 241.2202, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9015, predictive_accuracy: 0.8883, prior_entropy: 0.8464, recall: 0.8883, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.678, scimark_benchmark: 945.7621, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9025, kappa: 0.7633, kb_relative_information_score: 237.5248, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9124, predictive_accuracy: 0.8997, prior_entropy: 0.8464, recall: 0.8997, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.6398, scimark_benchmark: 945.6434, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.9048, kappa: 0.7664, kb_relative_information_score: 220.4208, mean_absolute_error: 0.1451, 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: 0.3658, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.6348, scimark_benchmark: 943.2817, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8271, kappa: 0.5688, kb_relative_information_score: 148.8071, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8297, predictive_accuracy: 0.8252, prior_entropy: 0.8464, recall: 0.8252, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7521, scimark_benchmark: 931.2336, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, build_cpu_time: 0.4719, build_memory: 1013959125.2722, f_measure: 0.904, kappa: 0.762, kb_relative_information_score: 255.6254, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9072, predictive_accuracy: 0.9026, prior_entropy: 0.8464, recall: 0.9026, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6786, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, build_cpu_time: 0.2032, build_memory: 594871120.7106, f_measure: 0.9011, kappa: 0.7542, kb_relative_information_score: 250.2093, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9038, predictive_accuracy: 0.8997, prior_entropy: 0.8464, recall: 0.8997, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6893, scimark_benchmark: 916.8903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, build_cpu_time: 0.0701, build_memory: 1685470800.9857, f_measure: 0.896, kappa: 0.7434, kb_relative_information_score: 231.0153, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9008, predictive_accuracy: 0.894, prior_entropy: 0.8464, recall: 0.894, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.6553, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, build_cpu_time: 0.0242, build_memory: 800737534.8539, f_measure: 0.8797, kappa: 0.6963, kb_relative_information_score: 197.6854, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8797, predictive_accuracy: 0.8797, prior_entropy: 0.8464, recall: 0.8797, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6868, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, build_cpu_time: 0.0543, build_memory: 868362666.4069, f_measure: 0.7257, kappa: 0.4409, kb_relative_information_score: 20.2846, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8415, predictive_accuracy: 0.7106, prior_entropy: 0.8464, recall: 0.7106, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.4495, root_relative_squared_error: 1.01, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, build_cpu_time: 20.7798, build_memory: 26276551.6562, f_measure: 0.8343, kappa: 0.5833, kb_relative_information_score: 159.7373, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8349, predictive_accuracy: 0.8338, prior_entropy: 0.8464, recall: 0.8338, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.7604, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, build_cpu_time: 33.7161, build_memory: 689116910.3725, f_measure: 0.8751, kappa: 0.688, kb_relative_information_score: 212.2792, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.8769, predictive_accuracy: 0.8739, prior_entropy: 0.8464, recall: 0.8739, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.6564, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, build_cpu_time: 66.1131, build_memory: 1116495776.0917, f_measure: 0.9153, kappa: 0.79, kb_relative_information_score: 260.5766, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9183, predictive_accuracy: 0.914, prior_entropy: 0.8464, recall: 0.914, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5831, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, build_cpu_time: 131.4867, build_memory: 34688907.5759, f_measure: 0.905, kappa: 0.7679, kb_relative_information_score: 253.8471, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9127, predictive_accuracy: 0.9026, prior_entropy: 0.8464, recall: 0.9026, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6594, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, build_cpu_time: 276.1088, build_memory: 25411659.0029, f_measure: 0.8994, kappa: 0.7542, kb_relative_information_score: 251.0574, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9072, predictive_accuracy: 0.8968, prior_entropy: 0.8464, recall: 0.8968, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6833, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, build_cpu_time: 124.8131, build_memory: 887037607.2436, f_measure: 0.9043, kappa: 0.7635, kb_relative_information_score: 255.1663, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9084, predictive_accuracy: 0.9026, prior_entropy: 0.8464, recall: 0.9026, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6951, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, build_cpu_time: 68.2115, build_memory: 1248762798.6934, f_measure: 0.9099, kappa: 0.7774, kb_relative_information_score: 259.4296, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.914, predictive_accuracy: 0.9083, prior_entropy: 0.8464, recall: 0.9083, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6788, scimark_benchmark: 932.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 15.3474, build_memory: 1390290418.1089, f_measure: 0.9102, kappa: 0.7788, kb_relative_information_score: 258.1659, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9153, predictive_accuracy: 0.9083, prior_entropy: 0.8464, recall: 0.9083, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6762, scimark_benchmark: 941.1732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, build_cpu_time: 7.31, build_memory: 103944141.2951, f_measure: 0.9072, kappa: 0.7712, kb_relative_information_score: 254.1869, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9118, predictive_accuracy: 0.9054, prior_entropy: 0.8464, recall: 0.9054, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6737, scimark_benchmark: 885.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, build_cpu_time: 1.1799, build_memory: 422869304.6189, f_measure: 0.9151, kappa: 0.7886, kb_relative_information_score: 260.235, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9172, predictive_accuracy: 0.914, prior_entropy: 0.8464, recall: 0.914, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.6084, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, build_cpu_time: 2.2205, build_memory: 2018071874.0401, f_measure: 0.9262, kappa: 0.8156, kb_relative_information_score: 266.8284, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9275, predictive_accuracy: 0.9255, prior_entropy: 0.8464, recall: 0.9255, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.6182, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, build_cpu_time: 4.3549, build_memory: 904623918.0287, f_measure: 0.9183, kappa: 0.7976, kb_relative_information_score: 266.2129, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9217, predictive_accuracy: 0.9169, prior_entropy: 0.8464, recall: 0.9169, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.6457, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, build_cpu_time: 9.0932, build_memory: 655686719.1748, f_measure: 0.9121, kappa: 0.7809, kb_relative_information_score: 263.0281, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9139, predictive_accuracy: 0.9112, prior_entropy: 0.8464, recall: 0.9112, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.6641, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, build_cpu_time: 17.994, build_memory: 1225275081.0774, f_measure: 0.921, kappa: 0.804, kb_relative_information_score: 270.9581, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9239, predictive_accuracy: 0.9198, prior_entropy: 0.8464, recall: 0.9198, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.6363, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, build_cpu_time: 3.9016, build_memory: 1341243366.7163, f_measure: 0.9315, kappa: 0.8276, kb_relative_information_score: 281.8887, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9318, predictive_accuracy: 0.9312, prior_entropy: 0.8464, recall: 0.9312, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5866, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, build_cpu_time: 2.2823, build_memory: 838038681.3524, f_measure: 0.934, kappa: 0.8331, kb_relative_information_score: 285.0917, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9339, predictive_accuracy: 0.9341, prior_entropy: 0.8464, recall: 0.9341, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.5739, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 1.2646, build_memory: 1411379820.6991, f_measure: 0.9317, kappa: 0.8287, kb_relative_information_score: 282.9123, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9324, predictive_accuracy: 0.9312, prior_entropy: 0.8464, recall: 0.9312, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5737, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, build_cpu_time: 0.414, build_memory: 924040412.4241, f_measure: 0.9264, kappa: 0.8168, kb_relative_information_score: 274.1182, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9284, predictive_accuracy: 0.9255, prior_entropy: 0.8464, recall: 0.9255, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.5938, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, build_cpu_time: 0.3086, build_memory: 149583869.7765, f_measure: 0.9094, kappa: 0.7745, kb_relative_information_score: 260.2205, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.3968, number_of_instances: 349, precision: 0.9116, predictive_accuracy: 0.9083, prior_entropy: 0.8464, recall: 0.9083, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4451, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.6596, scimark_benchmark: 935.6292,

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