query: Why we always get different accuracy for a different number of training our model?
positive_passages.docid: 146554
positive_passages.text: ANN produces different result every time it's run
negative_passages.docid: 120166
negative_passages.text: How to correctly use validation and test sets for Neural Network training?
negative_passages.docid: 130691
negative_passages.text: Compare classifiers based on AUROC or accuracy?
negative_passages.docid: 135987
negative_passages.text: Better accuracy with validation set than test set
negative_passages.docid: 138385
negative_passages.text: Why does the first forward pass in a neural-network (NN) classification model computes to zero for all classes before final activation?
negative_passages.docid: 68925
negative_passages.text: Varying behavior for possible loss of precision
negative_passages.docid: 59384
negative_passages.text: Do the same camera settings lead to the same exposure across different sensor sizes?
negative_passages.docid: 134716
negative_passages.text: Simultaneous fit to three datasets with measurement errors using different models but same parameters
negative_passages.docid: 156475
negative_passages.text: Validation Error less than training error?
negative_passages.docid: 34923
negative_passages.text: How does leave-one-out cross-validation work? How to select the final model out of $n$ different models?
negative_passages.docid: 153285
negative_passages.text: Is hyperparameter tuning on sample of dataset a bad idea?
negative_passages.docid: 98728
negative_passages.text: Random forest is overfitting?
negative_passages.docid: 133000
negative_passages.text: Ridge regression results different in using lm.ridge and glmnet
negative_passages.docid: 81502
negative_passages.text: Getting different output from seemingly identical calculations
negative_passages.docid: 87472
negative_passages.text: Calculating ratio of sample data used for model fitting/training and validation
negative_passages.docid: 137100
negative_passages.text: Validation: Data splitting into training vs. test datasets
negative_passages.docid: 42617
negative_passages.text: Why does logistic regression become unstable when classes are well-separated?