thread_m7h1tse4v{
"categories": [],
"domain": null,
"name": "test_user_025",
"skills": [],
"strengths": [
"Clear structure",
"Identified factors",
"Technical accuracy"
],
"thread_id": "thread_m7h1tse4v",
"updated_at": "2026-01-08T00:06:56",
"user_id": "test_user_025",
"weaknesses": [
"Depth lacking",
"Incomplete answers",
"Irrelevance",
"Lack of focus",
"Lack of knowledge",
"Lacks specificity",
"Needs structure",
"Poor structure"
]
}
{
"communication_clarity": 2.94,
"question_attempted": 6,
"reasoning_depth": 2.89,
"score_overall": 2.51,
"technical_accuracy": 2.93,
"user_id": "test_user_025"
}
{
"domain": "unknown",
"skills": [],
"strengths": [
"Technical accuracy",
"Clear structure"
],
"type": "profile_snapshot",
"updated_at": 1767830821,
"user_id": "test_user_025",
"user_summary": "",
"version": "v3",
"weaknesses": [
"Depth lacking"
]
}
{}
| # | Time | QID | Overall | TA | RD | CC |
|---|---|---|---|---|---|---|
| 1 | 2025-12-29T03:38:08 | data_cleaning_98e6e04c23 |
0.00 | 0.00 | 0.00 | 1.00 |
|
Question: What is type of your dataset?
Answer: That's it
|
||||||
| 2 | 2026-01-07T23:49:59 | scikit_learn_76425b6b8d |
0.00 | 0.00 | 0.00 | 1.00 |
|
Question: What is out of core learning?
Answer: First of all, I'm lo currently pursuing my core in artificial intelligence and data science.
|
||||||
| 3 | 2026-01-07T23:51:57 | algorithm_selection_c98a1d08c5 |
1.00 | 1.00 | 1.00 | 1.00 |
|
Question: Suppose you are trying to solve a classification problem; how do you decide which algorithm to use? Give scenarios.
Answer: In classification from like uh, when we are classifying the breast cancer reduction be like uh bin and.
|
||||||
| 4 | 2026-01-07T23:57:23 | algorithm_selection_c98a1d08c5 |
3.00 | 3.00 | 3.00 | 2.00 |
|
Question: Suppose you are trying to solve a classification problem; how do you decide which algorithm to use? Give scenarios.
Answer: When solving the Classification Pro problem, I decided to check whether the data check whether the following the data characteristics, problem complexity, integration needs and.
|
||||||
| 5 | 2026-01-08T00:02:59 | algorithm_selection_c98a1d08c5 |
4.00 | 4.00 | 5.00 | 4.00 |
|
Question: Suppose you are trying to solve a classification problem; how do you decide which algorithm to use? Give scenarios.
Answer: When I solving the classification problem, I decide the problem cont contains some data characteristics, problem complexity, integrative needs and performance requirements. When considering the classification problem, we have to check the five checklist.
|
||||||
| 6 | 2026-01-08T00:06:54 | image_classification_46210c9e54 |
9.00 | 9.00 | 8.00 | 9.00 |
|
Question: List down algorithms for segmentation
Answer: K-Means Clustering
Groups pixels into K clusters
Example: Color-based segmentation
Mean Shift
Density-based clustering
Example: Object tracking
Gaussian Mixture Model (GMM)
Probabilistic clustering
Example: Soft segmentation
🔹 Graph-Based Methods
Graph Cut
Segmentation as energy minimization
Example: Foreground-background separation
Normalized Cuts
Graph partitioning approach
Example: Complex scene segmentation
🔹 Deep Learning-Based Methods (VERY IMPORTANT)
Fully Convolutional Networks (FCN)
End-to-end pixel-wise segmentation
U-Net
Encoder-decoder architecture
Example: Medical image segmentation
SegNet
Efficient encoder-decoder network
DeepLab (v1–v3+)
Uses atrous convolution
Example: Semantic segmentation
Mask R-CNN
Instance segmentation
Example: Object-level masks
2️⃣ TEXT / NLP SEGMENTATION
Rule-Based Segmentation
Uses predefined rules
Example: Sentence segmentation
Topic Modeling (LDA)
Groups text into topics
Example: Document segmentation
Clustering (K-Means, Hierarchical)
Groups similar text segments
|
||||||