DEVELOPMENT... OpenML
Run
117160

Run 117160

Task 3598 (Supervised Classification) fri_c0_250_50 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
0.8279
Per class
Build CPU time
7.6601
Build memory
124257540
F measure
0.7957
Per class
Kappa
0.5893
KB relative information score
147.1051
Mean absolute error
0.2049
Mean prior absolute error
0.498
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.796
Per class
Predictive accuracy
0.796
Prior entropy
0.9971
Recall
0.796
Per class
Relative absolute error
0.4114
Root mean prior squared error
0.499
Root mean squared error
0.4449
Root relative squared error
0.8915
SciMark benchmark
937.9603