DEVELOPMENT... OpenML
Run
117970

Run 117970

Task 264 (Supervised Classification) postoperative-patient-data 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
0.4643
Per class
Build CPU time
0.136
Build memory
168024408
F measure
0.5594
Per class
Kappa
-0.0802
KB relative information score
-5.5963
Mean absolute error
0.3231
Mean prior absolute error
0.2798
Number of instances
29
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5682
Per class
Predictive accuracy
0.5517
Prior entropy
1.0305
Recall
0.5517
Per class
Relative absolute error
1.1546
Root mean prior squared error
0.3657
Root mean squared error
0.5454
Root relative squared error
1.4914
SciMark benchmark
933.4498