Run
1810188

Run 1810188

Task 3902 (Supervised Classification) pc4 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
0.9178
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8908
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4775
Cross-validation details (10-fold Crossvalidation)
KB relative information score
53.7341
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1552
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2148
Cross-validation details (10-fold Crossvalidation)
Number of instances
1458
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8885
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8937
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5368
Cross-validation details (10-fold Crossvalidation)
Recall
0.8937
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7226
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3274
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2657
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8117
Cross-validation details (10-fold Crossvalidation)