Anderszewski 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   72  0.3660  0.0073  0.0284  0.0254  0.0479  0.03
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   3  0.735  0.047  0.166  0.5510  0.486  0.51
Bacha 2000   64  0.4145  0.0072  0.0372  0.0344  0.1153  0.06
Badura 1965   74  0.3538  0.0078  0.0375  0.0371  0.0380  0.03
Barbosa 1983   82  0.2880  0.0076  0.0283  0.0273  0.0386  0.02
Biret 1990   21  0.5952  0.0025  0.0622  0.3241  0.1427  0.21
Blet 2003   33  0.5428  0.0033  0.0629  0.2440  0.1230  0.17
Block 1995   48  0.4970  0.0043  0.0542  0.1140  0.1335  0.12
Blumental 1952   75  0.3550  0.0059  0.0457  0.0453  0.0466  0.04
Boshniakovich 1969   61  0.4335  0.0071  0.0361  0.0353  0.0567  0.04
Brailowsky 1960   36  0.5319  0.0149  0.0450  0.0452  0.0561  0.04
Bunin 1987   20  0.5983  0.0027  0.1118  0.3926  0.3216  0.35
Bunin 1987b   19  0.5990  0.0026  0.0717  0.3926  0.3315  0.36
Chiu 1999   80  0.2985  0.0081  0.0371  0.0379  0.0371  0.03
Cohen 1997   79  0.3022  0.0182  0.0370  0.0343  0.1255  0.06
Cortot 1951   40  0.5239  0.0058  0.0368  0.0341  0.1651  0.07
Csalog 1996   88  0.1747  0.0088  0.0289  0.0247  0.0763  0.04
Czerny 1949   56  0.4620  0.0134  0.0733  0.1940  0.1631  0.17
Czerny 1990   23  0.5867  0.0029  0.0621  0.3239  0.1328  0.20
Duchoud 2007   6  0.7015  0.019  0.159  0.5213  0.458  0.48
Ezaki 2006   17  0.6068  0.0030  0.0724  0.3060  0.0437  0.11
Falvay 1989   63  0.4171  0.0055  0.0453  0.0472  0.0372  0.03
Farrell 1958   32  0.5491  0.0062  0.0363  0.0346  0.0662  0.04
Ferenczy 1958   27  0.5511  0.0232  0.0635  0.1816  0.4024  0.27
Fliere 1977   24  0.5763  0.0046  0.0458  0.0463  0.0460  0.04
Fou 1978   77  0.3341  0.0083  0.0282  0.0263  0.0574  0.03
Francois 1956   68  0.4059  0.0053  0.0449  0.0466  0.0468  0.04
Friedman 1923   84  0.2381  0.0069  0.0378  0.0341  0.1652  0.07
Friedman 1923b   85  0.2386  0.0070  0.0369  0.0343  0.1550  0.07
Friedman 1930   66  0.4072  0.0063  0.0460  0.0439  0.1349  0.07
Garcia 2007   47  0.4957  0.0023  0.0631  0.224  0.5117  0.33
Garcia 2007b   65  0.4046  0.0024  0.0734  0.198  0.3925  0.27
Gierzod 1998   14  0.6113  0.0128  0.0816  0.4331  0.1922  0.29
Gornostaeva 1994   28  0.5523  0.0150  0.0362  0.0364  0.0382  0.03
Groot 1988   62  0.4229  0.0054  0.0447  0.0464  0.0384  0.03
Harasiewicz 1955   34  0.546  0.0414  0.1515  0.4614  0.3813  0.42
Hatto 1993   8  0.691  0.231  0.234  0.565  0.552  0.55
Hatto 1997   9  0.6914  0.016  0.231  0.615  0.571  0.59
Horowitz 1949   67  0.4036  0.0074  0.0285  0.0257  0.0477  0.03
Indjic 1988   11  0.6782  0.005  0.145  0.556  0.543  0.54
Kapell 1951   12  0.679  0.0215  0.228  0.549  0.514  0.52
Kissin 1993   71  0.3954  0.0079  0.0379  0.0371  0.0378  0.03
Kushner 1989   13  0.6226  0.0118  0.0927  0.2652  0.0440  0.10
Luisada 1991   2  0.7417  0.018  0.2313  0.494  0.497  0.49
Lushtak 2004   46  0.5031  0.0019  0.0620  0.3434  0.1826  0.25
Malcuzynski 1961   25  0.5642  0.0041  0.0536  0.1556  0.0443  0.08
Magaloff 1978   22  0.5848  0.0036  0.0628  0.2458  0.0341  0.08
Magin 1975   1  0.754  0.084  0.1110  0.513  0.4310  0.47
Michalowski 1933   15  0.6016  0.0111  0.162  0.575  0.475  0.52
Milkina 1970   57  0.4643  0.0080  0.0377  0.0372  0.0476  0.03
Mohovich 1999   37  0.5327  0.0121  0.0726  0.2640  0.1132  0.17
Moravec 1969   70  0.3925  0.0168  0.0373  0.0370  0.0369  0.03
Morozova 2008   30  0.5461  0.0031  0.0837  0.1558  0.0445  0.08
Neighaus 1950   41  0.5187  0.0042  0.0540  0.1353  0.0546  0.08
Niedzielski 1931   60  0.4456  0.0057  0.0451  0.0417  0.2838  0.11
Ohlsson 1999   10  0.6744  0.0016  0.1919  0.3824  0.2519  0.31
Osinska 1989   58  0.4478  0.0077  0.0374  0.0352  0.0470  0.03
Pachmann 1927   89  0.1465  0.0087  0.0287  0.0277  0.0385  0.02
Paderewski 1930   42  0.5162  0.0061  0.0455  0.0434  0.1544  0.08
Perlemuter 1992   55  0.4784  0.0035  0.0730  0.2241  0.1134  0.16
Pierdomenico 2008   54  0.4773  0.0065  0.0365  0.0381  0.0373  0.03
Poblocka 1999   16  0.607  0.0317  0.1114  0.4820  0.3314  0.40
Rabcewiczowa 1932   45  0.5064  0.0064  0.0454  0.0448  0.0658  0.05
Rachmaninoff 1923   51  0.4888  0.0038  0.0538  0.1555  0.0442  0.08
Rangell 2001   50  0.4833  0.0066  0.0366  0.0365  0.0483  0.03
Richter 1976   35  0.5351  0.0020  0.0625  0.2915  0.3418  0.31
Rosen 1989   53  0.4874  0.0067  0.0452  0.0477  0.0381  0.03
Rosenthal 1930   26  0.5634  0.0051  0.0446  0.0451  0.0465  0.04
Rosenthal 1931   29  0.543  0.113  0.1132  0.2121  0.3623  0.27
Rosenthal 1931b   39  0.5237  0.0039  0.0539  0.1327  0.2429  0.18
Rosenthal 1931c   38  0.5324  0.0152  0.0456  0.0437  0.1747  0.08
Rosenthal 1931d   52  0.4810  0.0240  0.0543  0.1034  0.1436  0.12
Rossi 2007   81  0.2840  0.0048  0.0367  0.0342  0.0856  0.05
Rubinstein 1939   83  0.2853  0.0086  0.0286  0.0242  0.1357  0.05
Rubinstein 1952   87  0.2169  0.0089  0.0288  0.0270  0.0391  0.02
Rubinstein 1966   69  0.4032  0.0085  0.0280  0.0273  0.0387  0.02
Schilhawsky 1960   18  0.602  0.172  0.1711  0.5013  0.3811  0.44
Shebanova 2002   73  0.3676  0.0084  0.0281  0.0271  0.0388  0.02
Smith 1975   5  0.728  0.0210  0.143  0.5710  0.3312  0.43
Sokolov 2002   4  0.7266  0.0012  0.1412  0.5012  0.449  0.47
Sztompka 1959   43  0.5175  0.0056  0.0459  0.0442  0.1448  0.07
Tomsic 1995   49  0.4912  0.0244  0.0544  0.1057  0.0454  0.06
Uninsky 1932   59  0.4479  0.0060  0.0448  0.0450  0.0564  0.04
Uninsky 1971   31  0.5418  0.0122  0.0723  0.3130  0.3220  0.31
Wasowski 1980   44  0.5155  0.0037  0.0541  0.1227  0.2233  0.16
Zak 1937   78  0.3358  0.0075  0.0376  0.0376  0.0375  0.03
Zak 1951   76  0.3449  0.0045  0.0445  0.0769  0.0459  0.05
Average   7  0.6921  0.0113  0.147  0.5437  0.1821  0.31
Random 1   90  -0.0877  0.0091  0.0191  0.0171  0.0390  0.02
Random 2   91  -0.0989  0.0090  0.0290  0.0272  0.0289  0.02
Random 3   86  0.2230  0.0047  0.0364  0.0312  0.4339  0.11

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).