Run
515769

Run 515769

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

classif.ranger(3)Learner classif.ranger from package(s) ranger.
classif.ranger(3)_num.threads1
classif.ranger(3)_verboseFALSE
classif.ranger(3)_seed1
classif.ranger(3)_kindMersenne-Twister
classif.ranger(3)_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
0.9833
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9723
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9667
Cross-validation details (10-fold Crossvalidation)
KB relative information score
174.4912
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0093
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
0.9728
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9722
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9722
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0333
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3727
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0962
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.708
UserCPU time millis testing
0.141
UserCPU time millis training
1.567