DEVELOPMENT... OpenML
Run
118406

Run 118406

Task 22 (Supervised Classification) mfeat-zernike Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9457
Per class
Build CPU time
31.3959
Build memory
225176500
F measure
0.6803
Per class
Kappa
0.655
KB relative information score
753.3716
Mean absolute error
0.1466
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
0.6776
Per class
Predictive accuracy
0.6895
Prior entropy
3.3219
Recall
0.6895
Per class
Relative absolute error
0.8144
Root mean prior squared error
0.3
Root mean squared error
0.2495
Root relative squared error
0.8318
SciMark benchmark
937.279