Run
1810186

Run 1810186

Task 3899 (Supervised Classification) mozilla4 Uploaded 27-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.ADTree(7)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(7)_B10
weka.ADTree(7)_E-3
weka.ADTree(7)_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
0.9586
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9399
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8614
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10135.9542
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.172
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4412
Cross-validation details (10-fold Crossvalidation)
Number of instances
15545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9454
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9415
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9135
Cross-validation details (10-fold Crossvalidation)
Recall
0.9415
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3897
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4697
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2469
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5257
Cross-validation details (10-fold Crossvalidation)