Logistic regression

Imagine that you want to compare two logistic regression models. Use log-loss as a metric. Below you find the predictions of each model($y_i$ is 0 if the label is 'cat' and 1 if the label is 'dog').

First model:

Second model:

Your task is to find the best model and provide the value of its log-loss function. Round the answer to the second decimal place. For example, if your answer is $0.3479$, you write $0.35$.

Tip: $\text{LogLoss} = -\frac{1}{m} \cdot \sum\limits_{i=1}^{m} (y_i \cdot \ln(p_i) + (1-y_i) \cdot \ln(1-p_i))$