DEVELOPMENT... OpenML
Run
118705

Run 118705

Task 3648 (Supervised Classification) fri_c3_100_10 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
0.8413
Per class
Build CPU time
0.0774
Build memory
47243129.6
F measure
0.7895
Per class
Kappa
0.5607
KB relative information score
54.7017
Mean absolute error
0.2153
Mean prior absolute error
0.4804
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7892
Per class
Predictive accuracy
0.79
Prior entropy
0.9721
Recall
0.79
Per class
Relative absolute error
0.4481
Root mean prior squared error
0.4899
Root mean squared error
0.4375
Root relative squared error
0.893
SciMark benchmark
913.3372