Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.6426  0.015  0.106  0.4617  0.3915  0.42
Anderszewski 2003   62  0.4375  0.0052  0.0560  0.0535  0.2047  0.10
Ashkenazy 1981   25  0.5524  0.0121  0.0917  0.4139  0.1430  0.24
Bacha 2000   78  0.3382  0.0080  0.0479  0.0450  0.0662  0.05
Badura 1965   55  0.4561  0.0045  0.0559  0.0516  0.3940  0.14
Barbosa 1983   3  0.621  0.281  0.271  0.671  0.641  0.65
Biret 1990   39  0.5058  0.0050  0.0553  0.0542  0.1551  0.09
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   65  0.4320  0.0153  0.0552  0.0541  0.1159  0.07
Blumental 1952   73  0.3625  0.0169  0.0473  0.0455  0.0476  0.04
Boshniakovich 1969   43  0.4845  0.0055  0.0474  0.0437  0.1754  0.08
Brailowsky 1960   75  0.3687  0.0081  0.0381  0.0374  0.0478  0.03
Bunin 1987   10  0.5910  0.0315  0.089  0.4610  0.467  0.46
Bunin 1987b   11  0.5928  0.0116  0.1210  0.4610  0.465  0.46
Chiu 1999   35  0.5348  0.0036  0.0634  0.2330  0.3325  0.28
Cohen 1997   87  0.1876  0.0087  0.0382  0.0383  0.0288  0.02
Cortot 1951   59  0.4459  0.0051  0.0565  0.0540  0.1455  0.08
Csalog 1996   58  0.4433  0.0074  0.0649  0.0642  0.1349  0.09
Czerny 1949   57  0.4577  0.0058  0.0557  0.0547  0.0761  0.06
Czerny 1990   5  0.6166  0.0014  0.0818  0.4020  0.3123  0.35
Duchoud 2007   18  0.5738  0.0013  0.087  0.4614  0.476  0.46
Ezaki 2006   28  0.5472  0.0041  0.0737  0.1752  0.0548  0.09
Falvay 1989   42  0.4888  0.0070  0.0554  0.0557  0.0564  0.05
Farrell 1958   52  0.4636  0.0067  0.0471  0.0440  0.1653  0.08
Ferenczy 1958   60  0.4483  0.0066  0.0469  0.0423  0.3146  0.11
Fliere 1977   1  0.664  0.052  0.182  0.6311  0.562  0.59
Fou 1978   36  0.5140  0.0048  0.0550  0.0556  0.0567  0.05
Francois 1956   40  0.4957  0.0049  0.0647  0.0651  0.0569  0.05
Friedman 1923   79  0.3369  0.0060  0.0556  0.0511  0.4439  0.15
Friedman 1923b   77  0.3422  0.0159  0.0561  0.0514  0.4537  0.15
Friedman 1930   71  0.3813  0.0232  0.0738  0.1621  0.4028  0.25
Garcia 2007   82  0.2662  0.0078  0.0477  0.0440  0.1358  0.07
Garcia 2007b   80  0.2819  0.0168  0.0568  0.0510  0.4438  0.15
Gierzod 1998   70  0.3851  0.0063  0.0380  0.0369  0.0481  0.03
Gornostaeva 1994   45  0.489  0.0325  0.0641  0.1361  0.0460  0.07
Groot 1988   14  0.5815  0.0233  0.0628  0.3041  0.1534  0.21
Harasiewicz 1955   48  0.4734  0.0023  0.0729  0.2948  0.0543  0.12
Hatto 1993   49  0.4735  0.0027  0.0621  0.3613  0.4120  0.38
Hatto 1997   41  0.4923  0.0129  0.0924  0.3418  0.4319  0.38
Horowitz 1949   63  0.4342  0.0071  0.0562  0.0557  0.0473  0.04
Indjic 1988   44  0.4863  0.0028  0.1020  0.3713  0.3918  0.38
Kapell 1951   7  0.6031  0.0012  0.075  0.4720  0.449  0.45
Kissin 1993   30  0.5430  0.0044  0.0544  0.0946  0.0657  0.07
Kushner 1989   38  0.5084  0.0061  0.0648  0.0656  0.0468  0.05
Luisada 1991   8  0.595  0.056  0.1114  0.4315  0.4310  0.43
Lushtak 2004   24  0.5564  0.0017  0.1113  0.4321  0.4017  0.41
Malcuzynski 1961   27  0.5417  0.0143  0.0542  0.1162  0.0456  0.07
Magaloff 1978   64  0.4385  0.0054  0.0558  0.0554  0.0471  0.04
Magin 1975   51  0.4629  0.0057  0.0555  0.0543  0.1252  0.08
Michalowski 1933   68  0.3849  0.0030  0.0927  0.3018  0.4122  0.35
Milkina 1970   66  0.4241  0.0075  0.0567  0.0564  0.0472  0.04
Mohovich 1999   26  0.5481  0.0040  0.0740  0.1548  0.0550  0.09
Moravec 1969   50  0.4765  0.0065  0.0475  0.0457  0.0570  0.04
Morozova 2008   21  0.5639  0.0031  0.0925  0.3049  0.0542  0.12
Neighaus 1950   9  0.5911  0.024  0.113  0.5518  0.463  0.50
Niedzielski 1931   67  0.4044  0.0072  0.0563  0.0545  0.0665  0.05
Ohlsson 1999   22  0.5552  0.0039  0.0735  0.2246  0.0645  0.11
Osinska 1989   53  0.4689  0.0062  0.0646  0.0677  0.0463  0.05
Pachmann 1927   54  0.4578  0.0056  0.0566  0.0530  0.2544  0.11
Paderewski 1930   23  0.553  0.0610  0.0811  0.445  0.544  0.49
Perlemuter 1992   13  0.5916  0.0119  0.0819  0.4016  0.4611  0.43
Pierdomenico 2008   72  0.3743  0.0076  0.0478  0.0466  0.0379  0.03
Poblocka 1999   6  0.6012  0.028  0.088  0.469  0.448  0.45
Rabcewiczowa 1932   69  0.3886  0.0064  0.0476  0.0445  0.0666  0.05
Rachmaninoff 1923   47  0.4737  0.0042  0.0543  0.1037  0.1541  0.12
Rangell 2001   56  0.457  0.0411  0.0836  0.2119  0.3327  0.26
Richter 1976   33  0.5314  0.0234  0.0839  0.1638  0.1535  0.15
Rosen 1989   46  0.4870  0.0047  0.0551  0.0561  0.0475  0.04
Rosenthal 1930   74  0.3667  0.0079  0.0564  0.0554  0.0474  0.04
Rosenthal 1931   84  0.2390  0.0084  0.0284  0.0277  0.0384  0.02
Rosenthal 1931b   85  0.2173  0.0085  0.0286  0.0283  0.0290  0.02
Rosenthal 1931c   76  0.3571  0.0077  0.0470  0.0474  0.0382  0.03
Rosenthal 1931d   83  0.2479  0.0083  0.0287  0.0281  0.0289  0.02
Rossi 2007   86  0.1956  0.0086  0.0283  0.0281  0.0283  0.02
Rubinstein 1939   81  0.2853  0.0082  0.0285  0.0255  0.0480  0.03
Rubinstein 1952   61  0.4460  0.0073  0.0472  0.0465  0.0477  0.04
Rubinstein 1966   32  0.5368  0.0046  0.0745  0.0727  0.3236  0.15
Schilhawsky 1960   31  0.5327  0.0124  0.0623  0.3520  0.3721  0.36
Shebanova 2002   20  0.5618  0.0126  0.0526  0.3036  0.2526  0.27
Smith 1975   16  0.588  0.049  0.074  0.4922  0.3416  0.41
Sokolov 2002   19  0.5674  0.0038  0.0932  0.2541  0.1733  0.21
Sztompka 1959   4  0.616  0.047  0.0916  0.4218  0.4313  0.42
Tomsic 1995   12  0.5946  0.0022  0.0922  0.3539  0.1729  0.24
Uninsky 1932   17  0.5721  0.0118  0.1012  0.4415  0.4014  0.42
Uninsky 1971   15  0.5850  0.0020  0.1015  0.4219  0.4412  0.43
Wasowski 1980   37  0.502  0.123  0.1230  0.2812  0.4024  0.33
Zak 1937   29  0.5432  0.0037  0.0833  0.2436  0.2231  0.23
Zak 1951   34  0.5347  0.0035  0.0531  0.2537  0.2132  0.23
Random 1   89  0.0055  0.0090  0.0190  0.0154  0.0486  0.02
Random 2   90  -0.0454  0.0088  0.0188  0.0152  0.0585  0.02
Random 3   88  0.0280  0.0089  0.0189  0.0168  0.0387  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).