Run
118520

Run 118520

Task 1813 (Supervised Classification) tic-tac-toe Uploaded 10-12-2014 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_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9616
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.6314
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
982062636.8
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9068
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.7934
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
3497.515
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.1252
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.453
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
4790
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
0.9068
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9073
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9073
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.2763
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.2646
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.556
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
916.8516