Run
427403

Run 427403

Task 279 (Supervised Classification) tic-tac-toe Uploaded 09-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RealAdaBoost_DecisionStump(2)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RealAdaBoost_DecisionStump(2)_P100
weka.RealAdaBoost_DecisionStump(2)_H1.0
weka.RealAdaBoost_DecisionStump(2)_S1
weka.RealAdaBoost_DecisionStump(2)_I80
weka.RealAdaBoost_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.

22 Evaluation measures

Area under ROC curve
0.836
Per class
Cross-validation details (33% Holdout set)
F measure
0.7488
Per class
Cross-validation details (33% Holdout set)
Kappa
0.4687
Cross-validation details (33% Holdout set)
KB relative information score
99.3895
Cross-validation details (33% Holdout set)
Mean absolute error
0.3308
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4641
Cross-validation details (33% Holdout set)
Number of instances
316
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8233
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7753
Cross-validation details (33% Holdout set)
Prior entropy
0.9312
Cross-validation details (33% Holdout set)
Recall
0.7753
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7128
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4874
Cross-validation details (33% Holdout set)
Root mean squared error
0.4051
Cross-validation details (33% Holdout set)
Root relative squared error
0.8311
Cross-validation details (33% Holdout set)
SciMark benchmark
926.5859
UserCPU time millis
10
UserCPU time millis training
10