Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.608  0.037  0.343  0.6635  0.276  0.42
Anderszewski 2003   48  0.4390  0.0059  0.0466  0.0484  0.0379  0.03
Ashkenazy 1981   29  0.489  0.0210  0.1510  0.5542  0.1512  0.29
Bacha 2000   75  0.3368  0.0069  0.0376  0.0379  0.0372  0.03
Badura 1965   27  0.4935  0.0027  0.0622  0.3841  0.2113  0.28
Barbosa 1983   87  0.1886  0.0086  0.0385  0.0389  0.0288  0.02
Biret 1990   49  0.4312  0.0141  0.0637  0.2284  0.0348  0.08
Blet 2003   31  0.4713  0.0142  0.0739  0.2153  0.0634  0.11
Block 1995   78  0.3187  0.0067  0.0374  0.0384  0.0382  0.03
Blumental 1952   53  0.4176  0.0039  0.0745  0.1258  0.0452  0.07
Boshniakovich 1969   3  0.6114  0.018  0.207  0.5938  0.218  0.35
Brailowsky 1960   72  0.3483  0.0080  0.0379  0.0380  0.0474  0.03
Bunin 1987   63  0.3946  0.0025  0.0832  0.2628  0.3711  0.31
Bunin 1987b   64  0.3978  0.0026  0.0734  0.2527  0.3810  0.31
Chiu 1999   77  0.3148  0.0066  0.0375  0.0388  0.0376  0.03
Cohen 1997   88  0.1731  0.0087  0.0384  0.0388  0.0291  0.02
Cortot 1951   65  0.3871  0.0064  0.0467  0.0478  0.0384  0.03
Csalog 1996   81  0.2888  0.0073  0.0377  0.0388  0.0289  0.02
Czerny 1949   10  0.5311  0.013  0.179  0.5639  0.277  0.39
Czerny 1990   37  0.4589  0.0052  0.0751  0.0781  0.0364  0.05
Duchoud 2007   67  0.3645  0.0053  0.0946  0.0943  0.1436  0.11
Ezaki 2006   51  0.4232  0.0056  0.0654  0.0688  0.0271  0.03
Falvay 1989   83  0.2749  0.0084  0.0388  0.0388  0.0286  0.02
Farrell 1958   73  0.3480  0.0071  0.0382  0.0385  0.0378  0.03
Ferenczy 1958   66  0.3784  0.0058  0.0468  0.0468  0.0381  0.03
Fliere 1977   9  0.5526  0.0014  0.0814  0.4766  0.0425  0.14
Fou 1978   35  0.4667  0.0046  0.0752  0.0772  0.0461  0.05
Francois 1956   30  0.4715  0.0143  0.0840  0.2044  0.1224  0.15
Friedman 1923   43  0.4434  0.0051  0.0850  0.0869  0.0555  0.06
Friedman 1923b   32  0.4736  0.0045  0.0944  0.1857  0.0545  0.09
Friedman 1930   26  0.5060  0.0037  0.0727  0.2842  0.2215  0.25
Garcia 2007   62  0.3943  0.0062  0.0556  0.0557  0.0563  0.05
Garcia 2007b   45  0.4465  0.0036  0.0641  0.2063  0.0446  0.09
Gierzod 1998   18  0.5140  0.0021  0.1117  0.4574  0.0430  0.13
Gornostaeva 1994   12  0.5350  0.0033  0.0626  0.3048  0.0531  0.12
Groot 1988   79  0.3164  0.0079  0.0462  0.0481  0.0470  0.04
Harasiewicz 1955   13  0.5255  0.0020  0.0919  0.4384  0.0337  0.11
Hatto 1993   61  0.3972  0.0024  0.0836  0.2378  0.0350  0.08
Hatto 1997   57  0.4073  0.0023  0.0835  0.2377  0.0439  0.10
Horowitz 1949   44  0.4461  0.0047  0.0848  0.0845  0.1532  0.11
Indjic 1988   54  0.4185  0.0015  0.0730  0.2778  0.0343  0.09
Kapell 1951   39  0.4574  0.0028  0.0831  0.2766  0.0438  0.10
Kissin 1993   24  0.5022  0.0019  0.0815  0.4757  0.0523  0.15
Kushner 1989   14  0.525  0.0711  0.1120  0.4163  0.0428  0.13
Luisada 1991   52  0.4254  0.0050  0.0753  0.0782  0.0356  0.05
Lushtak 2004   76  0.3281  0.0078  0.0469  0.0470  0.0468  0.04
Malcuzynski 1961   15  0.527  0.0429  0.0629  0.2837  0.1519  0.20
Magaloff 1978   70  0.3553  0.0077  0.0560  0.0582  0.0367  0.04
Magin 1975   1  0.631  0.231  0.231  0.7326  0.363  0.51
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   19  0.5158  0.0038  0.0738  0.2177  0.0442  0.09
Mohovich 1999   74  0.3369  0.0074  0.0471  0.0487  0.0383  0.03
Moravec 1969   68  0.3523  0.0072  0.0378  0.0383  0.0373  0.03
Morozova 2008   33  0.4652  0.0040  0.0642  0.1876  0.0351  0.07
Neighaus 1950   11  0.5325  0.0016  0.0716  0.4645  0.0820  0.19
Niedzielski 1931   38  0.4544  0.0048  0.0847  0.0878  0.0360  0.05
Ohlsson 1999   20  0.5127  0.0013  0.0711  0.4850  0.0621  0.17
Osinska 1989   41  0.4577  0.0057  0.0558  0.0573  0.0466  0.04
Pachmann 1927   34  0.4617  0.0060  0.0463  0.0430  0.2933  0.11
Paderewski 1930   16  0.5110  0.0232  0.0628  0.2825  0.369  0.32
Perlemuter 1992   56  0.4141  0.0055  0.0561  0.0582  0.0365  0.04
Pierdomenico 2008   71  0.3547  0.0065  0.0470  0.0455  0.0659  0.05
Poblocka 1999   23  0.5070  0.0017  0.0618  0.4444  0.1414  0.25
Rabcewiczowa 1932   22  0.5137  0.0035  0.0823  0.3643  0.1118  0.20
Rachmaninoff 1923   36  0.4618  0.0044  0.0743  0.1873  0.0447  0.08
Rangell 2001   69  0.3529  0.0063  0.0464  0.0464  0.0469  0.04
Richter 1976   25  0.5051  0.0012  0.0912  0.4823  0.495  0.48
Rosen 1989   17  0.5128  0.0034  0.0733  0.2672  0.0441  0.10
Rosenthal 1930   47  0.4424  0.0061  0.0555  0.0540  0.1940  0.10
Rosenthal 1931   59  0.4063  0.0075  0.0472  0.0448  0.0662  0.05
Rosenthal 1931b   58  0.4020  0.0068  0.0373  0.0343  0.1253  0.06
Rosenthal 1931c   55  0.4142  0.0070  0.0380  0.0344  0.1154  0.06
Rosenthal 1931d   60  0.4038  0.0076  0.0557  0.0543  0.1449  0.08
Rossi 2007   80  0.3033  0.0083  0.0387  0.0370  0.0475  0.03
Rubinstein 1939   84  0.2639  0.0081  0.0381  0.0386  0.0377  0.03
Rubinstein 1952   85  0.2559  0.0082  0.0465  0.0475  0.0385  0.03
Rubinstein 1966   82  0.2782  0.0085  0.0383  0.0382  0.0480  0.03
Schilhawsky 1960   5  0.592  0.212  0.234  0.6220  0.511  0.56
Shebanova 2002   21  0.5191  0.0018  0.0813  0.4870  0.0427  0.14
Smith 1975   28  0.4821  0.0049  0.0849  0.0888  0.0358  0.05
Sokolov 2002   40  0.4566  0.0022  0.1021  0.3841  0.1216  0.21
Sztompka 1959   6  0.5916  0.009  0.255  0.6149  0.0717  0.21
Tomsic 1995   86  0.2379  0.0088  0.0386  0.0386  0.0287  0.02
Uninsky 1932   7  0.583  0.104  0.186  0.6014  0.512  0.55
Uninsky 1971   8  0.576  0.055  0.218  0.5927  0.444  0.51
Wasowski 1980   50  0.4275  0.0054  0.0559  0.0562  0.0557  0.05
Zak 1937   42  0.4456  0.0030  0.0624  0.3454  0.0722  0.15
Zak 1951   46  0.4430  0.0031  0.0825  0.3469  0.0529  0.13
Average   2  0.624  0.086  0.222  0.7080  0.0326  0.14
Random 1   91  -0.0819  0.0090  0.0290  0.0215  0.4044  0.09
Random 2   89  0.0162  0.0089  0.0289  0.021  0.6035  0.11
Random 3   90  -0.0457  0.0091  0.0191  0.0153  0.0490  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).