DEVELOPMENT... OpenML
Run
37858

Run 37858

Task 1942 (Supervised Classification) BNG(tic-tac-toe) Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I20
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.8163
Per class
Build CPU time
9.8798
Build memory
1559758932.1488
F measure
0.7335
Per class
Kappa
0.4003
KB relative information score
160890.6948
Mean absolute error
0.2575
Mean prior absolute error
0.4532
Number of instances
393660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7347
Per class
Predictive accuracy
0.7428
Prior entropy
0.9315
Recall
0.7428
Per class
Relative absolute error
0.5682
Root mean prior squared error
0.476
Root mean squared error
0.4751
Root relative squared error
0.9979
SciMark benchmark
945.6653