But some of the maze paths are blocked.

PathFinder is programmed to find the shortest route through the maze. If there are multiple shortest paths, it simply picks one at random and continues its way. Everything seems flawless—until something unexpected occurs.

The Glitch:

PathFinder begins its journey along the shortest path, following the signals. But at the 8.5th second of its path, one of the sensors malfunctions due to a crash, causing PathFinder to lose its signal, which makes it unable to detect the sensor.

Can you help Joe find which sensor glitched at approximately 8.5 seconds?

PathFinder is programmed to find the shortest route through the maze. If there are multiple shortest paths, it simply picks one at random and continues its way. Everything seems flawless—until something unexpected occurs.

The Glitch:

As PathFinder reaches each sensor, it sends a signal back to Joe's computer to confirm its location. During a trial run, Joe noticed that one of the sensors failed to send a signal at the expected time—around the 11th second.

Can you help Joe identify which sensor malfunctioned at the 11th second?

Scenario:

Imagine you are working with a team of researchers to develop an advanced AI/ML model for classifying animals into six categories: Mammals, Fish, Reptiles, Birds, Amphibians, and Insects. The model has been trained using a large animal dataset and uses several characteristics to make classifications. The dataset includes animals with different habitats, body temperatures, skin types, and other features. Now, you’re tasked with analysing the decision trees generated by this AI model to see if it has learned to classify animals accurately based on these characteristics.

The animals are classified according to the following criteria:

Habitat: Does the animal live on land or in water or in air?

Body Temperature: Is the animal warm-blooded or cold-blooded?

Skin Type: Does the animal have fur, feathers, scales, or smooth skin?

Breathing Method: Does the animal have lungs or gills?

Wings: Does the animal have wings or not?

Reproduction Method: Does the animal lay eggs or give birth?

A table of characteristic data is provided to assist with your analysis. Use this data to evaluate which decision trees accurately classify animals based on the specified characteristics.

Question: This decision-making process is how the AI classifies animals, but now, you need to carefully examine the decision trees provided to determine which one is the correct decision tree.

Scenario:

You are training an AI/ML model on a large dataset of animal characteristics classified into three categories: mammals, fish, and reptiles The dataset includes characteristics such as habitat, body temperature, skin type, breathing method, and reproduction method. The model is designed to classify animals into three categories—Mammals, Fish, and Reptiles—based on the following criteria:

Fish – Animals that live in water, have scales, are cold-blooded, breathe with gills, and lay eggs.

Mammal – Animals that live on land, have fur, are warm-blooded, breathe with lungs, and give birth.

Reptile – Animals that live on land, have scales, are cold-blooded, breathe with lungs, and lay eggs.

After training the model, four decision trees are generated. Your task is to analyse the output and determine which of these decision trees accurately represent the classification of animals based on the given characteristics.

Question: Based on the trained model, which of the following decision trees inaccurately represents the classification of animals into Mammals, Fish, and Reptiles?