Category "sklearn-pandas"

Get prediction confidence through Decision Tree Regression in sklearn

Is there a way I can attach some sort of confidence with my predictions from Decision Tree Regression output in python? from sklearn.tree import DecisionTreeR

ValueError: Input 0 of layer "sequential" is incompatible with the layer: expected shape=(None, 455, 30), found shape=(None, 30)

https://www.youtube.com/watch?v=z1PGJ9quPV8&t=28s Here is the little project of Cancer dectection, and it has already offer the dataset and colab code, but

Jupyter Notebook PySpark OSError [WinError 123] The filename, directory name, or volume label syntax is incorrect:

System Configuration: Operating System: Windows 10 Python Version: 3.7 Spark Version: 2.4.4 SPARK_HOME: C:\spark\spark-2.4.4-bin-hadoop2.7 Problem I am using

Sklearn can't convert string to float

I'm using Sklearn as a machine learning tool, but every time I run my code, it gives this error: Traceback (most recent call last): File "C:\Users\FakeUserMad