Showing Predictor "VDV"

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Regularization: L2	Tuning Score: avg log-likelihood loss
Time Points: 9	Tune Parameters: true
Feature Selection: false	Include Sibling Features: false
Standardize: true	Run Cross-Validation: true
Objective Function: log-likelihood	Marginal Loss Type: weighted
Use pre-defined Fold: No

Results
Start Time: 2016-10-21 14:57:17 -0600	Used Time: 9 minutes
Label Name: Time	C Parameter: 1000.0
PSSP model: mtlr_model_file2377.mtlr	Version: 0.0.3

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Cross-validation results

5-Fold Cross-Validation Statistics*
Measure	PSSP Predictor (median)	PSSP Predictor (mean)	K-M Predictor
Concordance Index	0.63 ± 0.07	0.63 ± 0.07	0.5 ± 0.0
Hinged L1 Loss	3.27 ± 0.49		3.14 ± 0.13
Uncensored L1 loss	6.3 ± 1.19	5.96 ± 0.23	3.02 ± 0.15
Marginal L1 Loss	4.5 ± 0.57	3.98 ± 0.11	3.6 ± 0.16
Marginal L2 Loss	N / A
Hinged L1 Log-Loss	0.62 ± 0.03	0.61 ± 0.04	0.61 ± 0.06
Uncensored L1 Log-Loss	1.23 ± 0.12	1.28 ± 0.13	0.88 ± 0.12
Marginal L1 Log-Loss	0.75 ± 0.04	0.73 ± 0.08	0.68 ± 0.07
Log-Likelihood Loss	2.86 ± 0.52
D-calibration χ² statistics	10.71 ± 2.77		24.7 ± 4.07
D-calibration χ² p-value	0.9 ± 0.1		0.21 ± 0.17

*Mean value ± standard deviation.

Examine Classification Accuracy