DEVELOPMENT... OpenML
Run
118368

Run 118368

Task 3913 (Supervised Classification) kc2 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)_I20
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
0.7474
Per class
Build CPU time
1.6614
Build memory
581195773.7011
F measure
0.8152
Per class
Kappa
0.4148
KB relative information score
175.2203
Mean absolute error
0.1919
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8112
Per class
Predictive accuracy
0.8218
Prior entropy
0.734
Recall
0.8218
Per class
Relative absolute error
0.5877
Root mean prior squared error
0.4037
Root mean squared error
0.3845
Root relative squared error
0.9524
SciMark benchmark
913.3372