DEVELOPMENT... OpenML
Run
145309

Run 145309

Task 20 (Supervised Classification) mfeat-pixel Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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
0.9967
Per class
F measure
0.9504
Per class
Kappa
0.945
KB relative information score
1903.1122
Mean absolute error
0.01
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.951
Per class
Predictive accuracy
0.9505
Prior entropy
3.3219
Recall
0.9505
Per class
Relative absolute error
0.0556
Root mean prior squared error
0.3
Root mean squared error
0.0912
Root relative squared error
0.3038
SciMark benchmark
941.8057
UserCPU time millis
359060
UserCPU time millis testing
30
UserCPU time millis training
359030