Run
360641

Run 360641

Task 4245 (Supervised Classification) analcatdata_boxing1 Uploaded 28-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.ADTree(4)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(4)_B10
weka.ADTree(4)_E-3
weka.ADTree(4)_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.

22 Evaluation measures

Area under ROC curve
0.8547
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7904
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.537
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
387.4745
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.322
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4557
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1200
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
Precision
0.7897
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7917
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9362
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7917
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7066
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.477
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3804
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7976
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1313.8988
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)