Run
56

Run 56

Task 93 (Learning Curve) postoperative-patient-data Uploaded 06-04-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RandomForest(1)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
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
0.4206 ± 0.2019
Per class
F measure
0.5435 ± 0.0937
Per class
Kappa
-0.1452 ± 0.1586
KB relative information score
-0.1116 ± 0.2095
Mean absolute error
0.2993 ± 0.0506
Mean prior absolute error
0.2871 ± 0.0196
Number of instances
900
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.5004 ± 0.0995
Per class
Predictive accuracy
0.6 ± 0.1117
Prior entropy
0.983 ± 0.181
Recall
0.6 ± 0.1117
Per class
Relative absolute error
1.0428 ± 0.1763
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.4424 ± 0.0514
Root relative squared error
1.1783 ± 0.136
SciMark benchmark
1934.8886