Data Segmentation | Divided into 30% discount | the training dataset 2/3, the test dataset 1/3 |
Data set Description | Logistic regression | The entire training set, with 858 data |
Particle filtering initial parameters | The first 250 data in the training set | |
Filtering process | The remaining 608 data in the training set | |
Other parameters description | A variance of the initial particle set A | A ~ N(0,1) |
Initial particle set P | P ~ N(initial parameters, A) | |
State equation noise covariance Q | A matrix of differentiation and standardized | |
Measurement equation noise covariance R | 0.1 | |
Number of particles | 100 | |
Cycle Time K | 608 |