Task
Supervised Data Stream Classification on postoperative-patient-data

Supervised Data Stream Classification on postoperative-patient-data

Task 2202 Supervised Data Stream Classification postoperative-patient-data 26 runs submitted
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Heitor Murilo Gomes 9 years ago
ran flow moa.OzaBagAdwin_HoeffdingTree(2) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: nominal value not declared in header, read Token[0], line 12
Joaquin Vanschoren 11 years ago
ran flow moa.WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.585, recall: 0.7111, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, run_cpu_time: 0.01,
Joaquin Vanschoren 11 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4093, f_measure: 0.5974, kappa: -0.008, kb_relative_information_score: 38.8724, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5711, predictive_accuracy: 0.6889, prior_entropy: 1.585, recall: 0.6889, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8426, run_cpu_time: 0.23,
Joaquin Vanschoren 11 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4233, f_measure: 0.5953, kappa: -0.0213, kb_relative_information_score: 35.7545, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5681, predictive_accuracy: 0.6444, prior_entropy: 1.585, recall: 0.6444, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8838, run_cpu_time: 0.12,
Jan van Rijn 11 years ago
ran flow moa.WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.585, recall: 0.7111, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
Joaquin Vanschoren 11 years ago
ran flow moa.OzaBagAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4082, f_measure: 0.5632, kappa: -0.0984, kb_relative_information_score: 38.5166, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.4936, predictive_accuracy: 0.6556, prior_entropy: 1.585, recall: 0.6556, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8526, run_cpu_time: 0.02,
Joaquin Vanschoren 11 years ago
ran flow moa.WEKAClassifier(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.585, recall: 0.7111, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
Joaquin Vanschoren 11 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4332, f_measure: 0.5879, kappa: -0.0385, kb_relative_information_score: 33.9374, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5602, predictive_accuracy: 0.6333, prior_entropy: 1.585, recall: 0.6333, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8774, run_cpu_time: 0.01,
Joaquin Vanschoren 11 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4119, f_measure: 0.6037, kappa: 0.0122, kb_relative_information_score: 39.6055, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5957, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.8241,
Joaquin Vanschoren 11 years ago
ran flow moa.WEKAClassifier_LinearRegression(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.585, recall: 0.7111, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
Joaquin Vanschoren 11 years ago
ran flow moa.ASHoeffdingTree(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.407, f_measure: 0.5847, kappa: -0.0465, kb_relative_information_score: 38.0713, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5439, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8484, run_cpu_time: 0.01,
Joaquin Vanschoren 11 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5481, f_measure: 0.5395, kappa: 0.0831, kb_relative_information_score: 36.6063, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5298, predictive_accuracy: 0.5667, prior_entropy: 1.585, recall: 0.5667, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.1402,
Jan van Rijn 11 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3739, f_measure: 0.5705, kappa: -0.0851, kb_relative_information_score: 36.1376, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5368, predictive_accuracy: 0.6222, prior_entropy: 1.585, ram_hours: 0, recall: 0.6222, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9143, run_cpu_time: 0.0012,
Joaquin Vanschoren 11 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.407, f_measure: 0.5847, kappa: -0.0465, kb_relative_information_score: 38.0713, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5439, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8484, run_cpu_time: 0.03,
Jan van Rijn 11 years ago
ran flow moa.OzaBoostAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4233, f_measure: 0.5953, kappa: -0.0213, kb_relative_information_score: 35.7545, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5681, predictive_accuracy: 0.6444, prior_entropy: 1.585, ram_hours: 0, recall: 0.6444, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8838, run_cpu_time: 0.0131,
Jan van Rijn 11 years ago
ran flow moa.NoChange(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5673, f_measure: 0.631, kappa: 0.1223, kb_relative_information_score: 44.8207, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.6288, predictive_accuracy: 0.6333, prior_entropy: 1.585, ram_hours: 0, recall: 0.6333, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0488, run_cpu_time: 0.001,
Jan van Rijn 11 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3828, f_measure: 0.5983, kappa: -0.015, kb_relative_information_score: 36.8056, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5696, predictive_accuracy: 0.6667, prior_entropy: 1.585, ram_hours: 0, recall: 0.6667, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8691, run_cpu_time: 0.0133,
Jan van Rijn 11 years ago
ran flow moa.MajorityClass(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4119, f_measure: 0.6037, kappa: 0.0122, kb_relative_information_score: 39.6055, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5957, predictive_accuracy: 0.7, prior_entropy: 1.585, ram_hours: 0, recall: 0.7, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.8241, run_cpu_time: 0.0011,
Jan van Rijn 11 years ago
ran flow moa.WEKAClassifier_SMO_PolyKernel(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.585, ram_hours: 0, recall: 0.7111, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, run_cpu_time: 0.0015,
Jan van Rijn 11 years ago
ran flow moa.RandomHoeffdingTree(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.408, f_measure: 0.5911, kappa: -0.0276, kb_relative_information_score: 39.2536, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5553, predictive_accuracy: 0.6778, prior_entropy: 1.585, ram_hours: 0, recall: 0.6778, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8409, run_cpu_time: 0.0008,
Jan van Rijn 11 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4082, f_measure: 0.5632, kappa: -0.0984, kb_relative_information_score: 38.5166, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.4936, predictive_accuracy: 0.6556, prior_entropy: 1.585, ram_hours: 0, recall: 0.6556, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8526, run_cpu_time: 0.0123,
Jan van Rijn 11 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 54.4042, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.585, ram_hours: 0, recall: 0.7111, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9309, run_cpu_time: 0.0009,
Jan van Rijn 11 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5079, f_measure: 0.5895, kappa: 0.0138, kb_relative_information_score: 53.0351, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5091, predictive_accuracy: 0.7, prior_entropy: 1.585, ram_hours: 0, recall: 0.7, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9487, run_cpu_time: 0.0011,
Jan van Rijn 11 years ago
ran flow moa.WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.585, ram_hours: 0, recall: 0.7111, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, run_cpu_time: 0.0021,
Jan van Rijn 11 years ago
ran flow moa.FIMTDD(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 54.4042, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.585, ram_hours: 0, recall: 0.7111, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9309, run_cpu_time: 0.0005,
Jan van Rijn 11 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.412, f_measure: 0.5974, kappa: -0.008, kb_relative_information_score: 38.8392, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4444, number_of_instances: 90, precision: 0.5711, predictive_accuracy: 0.6889, prior_entropy: 1.585, recall: 0.6889, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8428,

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    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

    Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

    Given inputs

    estimation_procedure Interleaved Test then Train
    source_data postoperative-patient-data (1)
    target_feature decision

    Expected outputs

    evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
    predictions The desired output format Predictions (optional)

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