Run
2040627

Run 2040627

Task 145682 (Supervised Classification) spectrometer Uploaded 13-04-2017 by Ji Hun Yang
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RandomForest(12)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(12)_P100
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K50
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

17 Evaluation measures

Area under ROC curve
0.8913
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2357
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2799
Cross-validation details (10-fold Crossvalidation)
KB relative information score
109.4396
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0373
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0396
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.281
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.339
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.339
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.94
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1335
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9496
Cross-validation details (10-fold Crossvalidation)