Run
112580

Run 112580

Task 1767 (Supervised Classification) kr-vs-kp Uploaded 09-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_J48(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_J48(2)_I20
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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.

21 Evaluation measures

Area under ROC curve
0.9949
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.4652
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
108716640
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9932
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.9865
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
15765.0089
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0067
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
15980
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9933
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9932
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9932
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.0134
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.0807
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.1615
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
934.6076