Run
8886000

Run 8886000

Task 167132 (Supervised Classification) Speech Uploaded 15-03-2018 by jiawen wang
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Flow

sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.MinMaxSc aler,classifier=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(10)_C1.0
sklearn.linear_model.logistic.LogisticRegression(10)_class_weightnull
sklearn.linear_model.logistic.LogisticRegression(10)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(10)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(10)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(10)_max_iter100
sklearn.linear_model.logistic.LogisticRegression(10)_multi_class"ovr"
sklearn.linear_model.logistic.LogisticRegression(10)_n_jobs-1
sklearn.linear_model.logistic.LogisticRegression(10)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state33495
sklearn.linear_model.logistic.LogisticRegression(10)_solver"liblinear"
sklearn.linear_model.logistic.LogisticRegression(10)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(10)_verbose0
sklearn.linear_model.logistic.LogisticRegression(10)_warm_startfalse
sklearn.preprocessing.data.MinMaxScaler(3)_copytrue
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range[0, 1]
sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.MinMaxScaler,classifier=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.8294 ± 0.0967
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9756 ± 0.0043
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0297 ± 0.0896
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-5311.5084 ± 74.2664
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0278 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0328 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
3686
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9729 ± 0.011
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9832 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9832 ± 0.0017
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8469 ± 0.0428
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1213 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9511 ± 0.0457
Cross-validation details (10-fold Crossvalidation)