DEVELOPMENT... OpenML
Run
117724

Run 117724

Task 3695 (Supervised Classification) fri_c2_250_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)_I40
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
0.9022
Per class
Build CPU time
0.8373
Build memory
208352224.8
F measure
0.8991
Per class
Kappa
0.7804
KB relative information score
194.4106
Mean absolute error
0.0993
Mean prior absolute error
0.4633
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
0.8997
Per class
Predictive accuracy
0.9
Prior entropy
0.9468
Recall
0.9
Per class
Relative absolute error
0.2143
Root mean prior squared error
0.4812
Root mean squared error
0.3125
Root relative squared error
0.6494
SciMark benchmark
937.279