DEVELOPMENT... OpenML
Run
117003

Run 117003

Task 242 (Supervised Classification) mfeat-factors 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)_I80
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
0.9994
Per class
Build CPU time
834.123
Build memory
1011062320
F measure
0.9653
Per class
Kappa
0.9612
KB relative information score
638.3277
Mean absolute error
0.007
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9661
Per class
Predictive accuracy
0.9652
Prior entropy
3.3219
Recall
0.9652
Per class
Relative absolute error
0.0391
Root mean prior squared error
0.3
Root mean squared error
0.0759
Root relative squared error
0.253
SciMark benchmark
937.9603