DEVELOPMENT... OpenML
Run
117690

Run 117690

Task 3654 (Supervised Classification) fri_c1_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)_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
0.8507
Per class
Build CPU time
0.2726
Build memory
1557863720.8
F measure
0.7784
Per class
Kappa
0.5552
KB relative information score
56.6884
Mean absolute error
0.2152
Mean prior absolute error
0.4982
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
0.7825
Per class
Predictive accuracy
0.78
Prior entropy
0.9975
Recall
0.78
Per class
Relative absolute error
0.4319
Root mean prior squared error
0.4991
Root mean squared error
0.4581
Root relative squared error
0.9179
SciMark benchmark
874.7324