DEVELOPMENT... OpenML
Run
118151

Run 118151

Task 3634 (Supervised Classification) fri_c3_100_25 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
0.7281
Per class
Build CPU time
0.365
Build memory
1327891397.6
F measure
0.6983
Per class
Kappa
0.389
KB relative information score
36.8957
Mean absolute error
0.3123
Mean prior absolute error
0.4951
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
0.6988
Per class
Predictive accuracy
0.7
Prior entropy
0.9931
Recall
0.7
Per class
Relative absolute error
0.6307
Root mean prior squared error
0.4975
Root mean squared error
0.5311
Root relative squared error
1.0676
SciMark benchmark
890.3066