DEVELOPMENT... OpenML
Run
116987

Run 116987

Task 1786 (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)_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
0.9476
Per class
Build CPU time
20.5696
Build memory
1387047949.6
F measure
0.6892
Per class
Kappa
0.6583
KB relative information score
4272.8283
Mean absolute error
0.1379
Mean prior absolute error
0.18
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6875
Per class
Predictive accuracy
0.6925
Prior entropy
3.3219
Recall
0.6925
Per class
Relative absolute error
0.7663
Root mean prior squared error
0.3
Root mean squared error
0.2389
Root relative squared error
0.7964
SciMark benchmark
931.9671