DEVELOPMENT... OpenML
Run
119510

Run 119510

Task 20 (Supervised Classification) mfeat-pixel 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
0.995
Per class
Build CPU time
549.5321
Build memory
250370356
F measure
0.9256
Per class
Kappa
0.9172
KB relative information score
1760.359
Mean absolute error
0.0348
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
0.926
Per class
Predictive accuracy
0.9255
Prior entropy
3.3219
Recall
0.9255
Per class
Relative absolute error
0.1931
Root mean prior squared error
0.3
Root mean squared error
0.1095
Root relative squared error
0.3651
SciMark benchmark
922.3661