DEVELOPMENT... OpenML
Run
117296

Run 117296

Task 3818 (Supervised Classification) tae 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
0.7613
Per class
Build CPU time
0.3033
Build memory
937242137.9073
F measure
0.7513
Per class
Kappa
0.4576
KB relative information score
61.1563
Mean absolute error
0.2587
Mean prior absolute error
0.4522
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7566
Per class
Predictive accuracy
0.7483
Prior entropy
0.9308
Recall
0.7483
Per class
Relative absolute error
0.5721
Root mean prior squared error
0.4752
Root mean squared error
0.4883
Root relative squared error
1.0276
SciMark benchmark
924.2473