Run
422275

Run 422275

Task 1942 (Supervised Classification) BNG(tic-tac-toe) Uploaded 08-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RacedIncrementalLogitBoost_DecisionStump(3)Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
weka.RacedIncrementalLogitBoost_DecisionStump(3)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(3)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(3)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(3)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(3)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(3)_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
0.7499
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7101
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3467
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
81047.8192
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3634
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4532
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
393660
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7113
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7219
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9315
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7219
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8017
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.476
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4318
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.907
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
929.0296
UserCPU time millis
510
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
70
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
440
Cross-validation details (10 times 10-fold Crossvalidation)