Run
515751

Run 515751

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

classif.glmnet(1)Learner classif.glmnet from package(s) !glmnet.
classif.glmnet(1)_s0.01
classif.glmnet(1)_seed1
classif.glmnet(1)_kindMersenne-Twister
classif.glmnet(1)_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
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9556
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9467
Cross-validation details (10-fold Crossvalidation)
KB relative information score
171.186
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0148
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
0.9561
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9556
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9556
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0533
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3727
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1217
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3266
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
3.161
UserCPU time millis testing
0.489
UserCPU time millis training
2.672