DEVELOPMENT... OpenML
Run
116667

Run 116667

Task 3676 (Supervised Classification) rmftsa_ctoarrivals Uploaded 09-12-2014 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)_I160
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
0.9382
Per class
Build CPU time
2.7482
Build memory
235668750.9091
F measure
0.9319
Per class
Kappa
0.8562
KB relative information score
224.8705
Mean absolute error
0.0681
Mean prior absolute error
0.4726
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9322
Per class
Predictive accuracy
0.9318
Prior entropy
0.9604
Recall
0.9318
Per class
Relative absolute error
0.1441
Root mean prior squared error
0.486
Root mean squared error
0.2608
Root relative squared error
0.5367
SciMark benchmark
913.3372