Run
95137

Run 95137

Task 1813 (Supervised Classification) tic-tac-toe Uploaded 08-12-2014 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_DecisionStump(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_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.7977
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.0077
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
78477669.6
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.7163
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.3586
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1248.5501
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.3358
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
0.7226
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.7319
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.7319
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.7413
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
0.4144
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.8708
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
945.1122