Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.7822  0.0116  0.0715  0.426  0.4317  0.42
Anderszewski 2003   69  0.5614  0.0150  0.0456  0.0436  0.1559  0.08
Ashkenazy 1981   36  0.694  0.0615  0.0729  0.2625  0.3231  0.29
Bacha 2000   65  0.6082  0.0082  0.0455  0.0456  0.0469  0.04
Badura 1965   67  0.5974  0.0043  0.0540  0.126  0.5534  0.26
Barbosa 1983   73  0.4885  0.0061  0.0381  0.0355  0.0482  0.03
Biret 1990   33  0.7076  0.0070  0.0551  0.0551  0.0476  0.04
Blet 2003   44  0.6835  0.0051  0.0452  0.0435  0.1660  0.08
Block 1995   32  0.7050  0.0044  0.0543  0.1012  0.3443  0.18
Blumental 1952   81  0.3743  0.0076  0.0370  0.0348  0.0574  0.04
Boshniakovich 1969   24  0.7324  0.0028  0.0724  0.298  0.5120  0.38
Brailowsky 1960   45  0.6730  0.0065  0.0372  0.0334  0.2056  0.08
Bunin 1987   26  0.7137  0.0041  0.0634  0.1811  0.4533  0.28
Bunin 1987b   25  0.7141  0.0040  0.0532  0.1811  0.4532  0.28
Chiu 1999   75  0.4670  0.0069  0.0462  0.0453  0.0571  0.04
Cohen 1997   83  0.3062  0.0086  0.0287  0.0274  0.0391  0.02
Cortot 1951   55  0.6455  0.0073  0.0463  0.0445  0.1265  0.07
Csalog 1996   74  0.4883  0.0087  0.0378  0.0370  0.0383  0.03
Czerny 1949   28  0.718  0.0212  0.0911  0.466  0.578  0.51
Czerny 1990   9  0.833  0.076  0.123  0.623  0.584  0.60
Duchoud 2007   46  0.6751  0.0052  0.0550  0.0551  0.0567  0.05
Ezaki 2006   8  0.8410  0.025  0.164  0.613  0.593  0.60
Falvay 1989   21  0.7454  0.0022  0.0621  0.3019  0.3127  0.30
Farrell 1958   34  0.6963  0.0074  0.0453  0.0440  0.1163  0.07
Ferenczy 1958   71  0.5386  0.0083  0.0379  0.0365  0.0385  0.03
Fliere 1977   3  0.8527  0.008  0.138  0.507  0.4513  0.47
Fou 1978   37  0.6920  0.0124  0.0628  0.2625  0.3528  0.30
Francois 1956   18  0.767  0.0210  0.0910  0.478  0.4912  0.48
Friedman 1923   87  0.2380  0.0079  0.0459  0.0423  0.3446  0.12
Friedman 1923b   86  0.2490  0.0078  0.0377  0.0322  0.3453  0.10
Friedman 1930   77  0.3944  0.0058  0.0374  0.0325  0.3452  0.10
Garcia 2007   79  0.3787  0.0084  0.0380  0.0365  0.0486  0.03
Garcia 2007b   88  0.2166  0.0085  0.0386  0.0348  0.0577  0.04
Gierzod 1998   17  0.7733  0.0026  0.0720  0.3112  0.3526  0.33
Gornostaeva 1994   6  0.8412  0.023  0.146  0.562  0.595  0.57
Groot 1988   4  0.8518  0.0111  0.1012  0.457  0.5015  0.47
Harasiewicz 1955   59  0.632  0.232  0.265  0.572  0.566  0.56
Hatto 1993   82  0.3578  0.0067  0.0464  0.0461  0.0387  0.03
Hatto 1997   76  0.4231  0.0060  0.0467  0.0468  0.0384  0.03
Horowitz 1949   27  0.7115  0.0131  0.0623  0.304  0.5319  0.40
Indjic 1988   80  0.3791  0.0066  0.0385  0.0364  0.0381  0.03
Kapell 1951   31  0.7028  0.0059  0.0375  0.0342  0.1564  0.07
Kissin 1993   15  0.786  0.0314  0.0814  0.437  0.5411  0.48
Kushner 1989   7  0.8438  0.009  0.149  0.503  0.587  0.54
Luisada 1991   61  0.6175  0.0062  0.0458  0.0451  0.0570  0.04
Lushtak 2004   56  0.6321  0.0145  0.0544  0.1049  0.0662  0.08
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   2  0.8713  0.027  0.127  0.503  0.5110  0.50
Magin 1975   42  0.685  0.0317  0.0727  0.264  0.4325  0.33
Michalowski 1933   78  0.3871  0.0038  0.0545  0.0948  0.0758  0.08
Milkina 1970   13  0.7860  0.0035  0.0538  0.1324  0.2942  0.19
Mohovich 1999   12  0.8167  0.0018  0.0718  0.3712  0.4518  0.41
Moravec 1969   41  0.6848  0.0057  0.0382  0.0327  0.2455  0.08
Morozova 2008   62  0.6046  0.0047  0.0648  0.0642  0.1161  0.08
Neighaus 1950   5  0.859  0.024  0.152  0.622  0.652  0.63
Niedzielski 1931   70  0.5523  0.0177  0.0383  0.0362  0.0380  0.03
Ohlsson 1999   29  0.7152  0.0064  0.0376  0.0353  0.0672  0.04
Osinska 1989   23  0.7457  0.0036  0.0733  0.1820  0.3236  0.24
Pachmann 1927   72  0.5256  0.0071  0.0460  0.0431  0.2451  0.10
Paderewski 1930   35  0.6926  0.0063  0.0384  0.0324  0.2357  0.08
Perlemuter 1992   54  0.6434  0.0027  0.0731  0.2124  0.3035  0.25
Pierdomenico 2008   39  0.6873  0.0029  0.0730  0.219  0.4029  0.29
Poblocka 1999   38  0.6932  0.0072  0.0373  0.0356  0.0479  0.03
Rabcewiczowa 1932   51  0.6579  0.0055  0.0461  0.0427  0.2649  0.10
Rachmaninoff 1923   53  0.6425  0.0021  0.0826  0.288  0.4024  0.33
Rangell 2001   19  0.7553  0.0032  0.0635  0.1724  0.2341  0.20
Richter 1976   57  0.6377  0.0054  0.0549  0.0526  0.2050  0.10
Rosen 1989   11  0.8161  0.0013  0.0913  0.445  0.599  0.51
Rosenthal 1930   30  0.7136  0.0037  0.0536  0.166  0.5430  0.29
Rosenthal 1931   60  0.6288  0.0042  0.0539  0.1315  0.4138  0.23
Rosenthal 1931b   63  0.6058  0.0048  0.0746  0.0715  0.4044  0.17
Rosenthal 1931c   20  0.7517  0.0125  0.0719  0.369  0.5316  0.44
Rosenthal 1931d   52  0.6465  0.0049  0.0466  0.0422  0.3247  0.11
Rossi 2007   84  0.3089  0.0053  0.0454  0.0417  0.2448  0.10
Rubinstein 1939   85  0.2581  0.0088  0.0289  0.0283  0.0388  0.02
Rubinstein 1952   64  0.6049  0.0081  0.0457  0.0450  0.0768  0.05
Rubinstein 1966   58  0.6368  0.0075  0.0465  0.0452  0.0573  0.04
Schilhawsky 1960   43  0.6829  0.0046  0.0747  0.0729  0.2445  0.13
Shebanova 2002   50  0.6664  0.0068  0.0368  0.0346  0.0966  0.05
Smith 1975   22  0.7447  0.0020  0.0916  0.4216  0.2922  0.35
Sokolov 2002   16  0.7711  0.0230  0.0925  0.2815  0.4421  0.35
Sztompka 1959   48  0.6640  0.0056  0.0369  0.0334  0.2554  0.09
Tomsic 1995   10  0.8272  0.0019  0.1117  0.419  0.5314  0.47
Uninsky 1932   66  0.6042  0.0034  0.0542  0.1110  0.4539  0.22
Uninsky 1971   49  0.6616  0.0133  0.0637  0.1424  0.4037  0.24
Wasowski 1980   68  0.5819  0.0180  0.0371  0.0354  0.0478  0.03
Zak 1937   47  0.6769  0.0039  0.0441  0.1219  0.3340  0.20
Zak 1951   40  0.6839  0.0023  0.0722  0.3019  0.3923  0.34
Average   1  0.911  0.261  0.251  0.736  0.581  0.65
Random 1   90  -0.0845  0.0091  0.0191  0.0164  0.0490  0.02
Random 2   91  -0.0959  0.0090  0.0190  0.0159  0.0389  0.02
Random 3   89  0.0984  0.0089  0.0288  0.0245  0.0875  0.04

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).