DEVELOPMENT... OpenML
Run
23724

Run 23724

Task 52 (Supervised Classification) heart-statlog Uploaded 27-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomForest(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomForest(1)_C3
weka.MultiBoostAB_RandomForest(1)_I10
weka.MultiBoostAB_RandomForest(1)_P100
weka.MultiBoostAB_RandomForest(1)_S1
weka.MultiBoostAB_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8298
Per class
F measure
0.8171
Per class
Kappa
0.6285
KB relative information score
168.5819
Mean absolute error
0.1849
Mean prior absolute error
0.4939
Number of instances
270
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8196
Per class
Predictive accuracy
0.8185
Prior entropy
0.9912
Recall
0.8185
Per class
Relative absolute error
0.3744
Root mean prior squared error
0.4969
Root mean squared error
0.4242
Root relative squared error
0.8537
SciMark benchmark
942.6573[553.0249675303628998.9399207242031484.75925509327664910.85475360997441765.7074124997566]