Run
515758

Run 515758

Task 10104 (Supervised Classification) Smartphone-Based_Recognition_of_Human_Activities Uploaded 28-01-2016 by Rafael Gomes Mantovani
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Flow

classif.LiblineaRL2LogReg(4)Learner classif.LiblineaRL2LogReg from package(s) LiblineaR.
classif.LiblineaRL2LogReg(4)_seed1
classif.LiblineaRL2LogReg(4)_kindMersenne-Twister
classif.LiblineaRL2LogReg(4)_normal.kindInversion

Result files

Description

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

Predictions

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

20 Evaluation measures

Area under ROC curve
0.9533
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9219
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9067
Cross-validation details (10-fold Crossvalidation)
KB relative information score
164.5754
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0259
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2778
Cross-validation details (10-fold Crossvalidation)
Number of instances
180
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9287
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9222
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9222
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0933
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3727
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.161
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.432
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.194
UserCPU time millis testing
0.025
UserCPU time millis training
0.169