Anderszewski 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.5579  0.0065  0.0368  0.0367  0.0487  0.03
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   8  0.706  0.045  0.134  0.5214  0.466  0.49
Bacha 2000   51  0.5418  0.0162  0.0371  0.0359  0.0566  0.04
Badura 1965   57  0.5252  0.0077  0.0363  0.0370  0.0488  0.03
Barbosa 1983   82  0.4139  0.0072  0.0287  0.0256  0.0584  0.03
Biret 1990   17  0.6541  0.0020  0.0717  0.3426  0.2718  0.30
Blet 2003   41  0.5842  0.0050  0.0361  0.0342  0.1062  0.05
Block 1995   38  0.5931  0.0022  0.0728  0.2020  0.3421  0.26
Blumental 1952   80  0.4528  0.0053  0.0450  0.0458  0.0473  0.04
Boshniakovich 1969   35  0.5975  0.0046  0.0360  0.0354  0.0574  0.04
Brailowsky 1960   18  0.6456  0.0047  0.0546  0.0539  0.2140  0.10
Bunin 1987   64  0.5189  0.0064  0.0645  0.0628  0.3134  0.14
Bunin 1987b   69  0.5070  0.0063  0.0367  0.0330  0.3142  0.10
Chiu 1999   76  0.4887  0.0073  0.0383  0.0356  0.0479  0.03
Cohen 1997   85  0.3425  0.0184  0.0378  0.0339  0.1064  0.05
Cortot 1951   46  0.5749  0.0054  0.0548  0.0562  0.0565  0.05
Csalog 1996   86  0.2588  0.0086  0.0284  0.0261  0.0485  0.03
Czerny 1949   36  0.5923  0.0136  0.0433  0.1565  0.0547  0.09
Czerny 1990   14  0.6746  0.0025  0.0623  0.2650  0.0538  0.11
Duchoud 2007   31  0.6054  0.0017  0.0720  0.2925  0.3316  0.31
Ezaki 2006   4  0.7222  0.0112  0.1212  0.4324  0.3212  0.37
Falvay 1989   78  0.4624  0.0181  0.0452  0.0446  0.0858  0.06
Farrell 1958   30  0.6055  0.0043  0.0441  0.0940  0.1141  0.10
Ferenczy 1958   34  0.5921  0.0133  0.0439  0.0913  0.3627  0.18
Fliere 1977   10  0.6966  0.0019  0.0719  0.3049  0.0536  0.12
Fou 1978   65  0.5178  0.0076  0.0379  0.0356  0.0569  0.04
Francois 1956   60  0.5229  0.0068  0.0362  0.0347  0.0577  0.04
Friedman 1923   73  0.4953  0.0051  0.0364  0.0332  0.2550  0.09
Friedman 1923b   74  0.4864  0.0052  0.0365  0.0334  0.2452  0.08
Friedman 1930   39  0.5885  0.0045  0.0451  0.0429  0.2937  0.11
Garcia 2007   42  0.5880  0.0026  0.0729  0.199  0.4717  0.30
Garcia 2007b   68  0.5076  0.0028  0.0536  0.1321  0.2228  0.17
Gierzod 1998   12  0.6812  0.0215  0.1313  0.4328  0.2914  0.35
Gornostaeva 1994   16  0.658  0.0323  0.0622  0.2831  0.2620  0.27
Groot 1988   66  0.5177  0.0067  0.0455  0.0453  0.0475  0.04
Harasiewicz 1955   13  0.682  0.192  0.196  0.5011  0.457  0.47
Hatto 1993   9  0.703  0.123  0.185  0.505  0.611  0.55
Hatto 1997   6  0.7117  0.018  0.272  0.557  0.532  0.54
Horowitz 1949   53  0.5326  0.0070  0.0370  0.0339  0.1755  0.07
Indjic 1988   7  0.7058  0.007  0.158  0.489  0.564  0.52
Kapell 1951   22  0.624  0.044  0.137  0.4910  0.449  0.46
Kissin 1993   52  0.5381  0.0069  0.0373  0.0358  0.0571  0.04
Kushner 1989   11  0.6827  0.0018  0.0718  0.3040  0.1524  0.21
Luisada 1991   1  0.7511  0.026  0.153  0.5311  0.485  0.50
Lushtak 2004   45  0.5757  0.0034  0.0531  0.1758  0.0548  0.09
Malcuzynski 1961   43  0.5837  0.0041  0.0442  0.0744  0.0854  0.07
Magaloff 1978   33  0.6030  0.0049  0.0457  0.0453  0.0568  0.04
Magin 1975   2  0.721  0.201  0.201  0.556  0.493  0.52
Michalowski 1933   32  0.6040  0.0021  0.0715  0.3611  0.4511  0.40
Milkina 1970   25  0.6144  0.0048  0.0456  0.0451  0.0570  0.04
Mohovich 1999   26  0.6116  0.0116  0.0821  0.2831  0.2522  0.26
Moravec 1969   83  0.4151  0.0083  0.0372  0.0380  0.0378  0.03
Morozova 2008   28  0.6162  0.0024  0.0727  0.2042  0.1032  0.14
Neighaus 1950   19  0.6367  0.0029  0.0524  0.2558  0.0539  0.11
Niedzielski 1931   50  0.5448  0.0061  0.0380  0.0337  0.1459  0.06
Ohlsson 1999   5  0.7119  0.0110  0.1614  0.4122  0.3313  0.37
Osinska 1989   20  0.6338  0.0039  0.0438  0.1152  0.0553  0.07
Pachmann 1927   84  0.4071  0.0085  0.0288  0.0270  0.0483  0.03
Paderewski 1930   44  0.5745  0.0059  0.0377  0.0335  0.1556  0.07
Perlemuter 1992   40  0.5872  0.0037  0.0632  0.1736  0.1329  0.15
Pierdomenico 2008   79  0.4665  0.0074  0.0286  0.0262  0.0480  0.03
Poblocka 1999   29  0.6136  0.0014  0.1211  0.4525  0.2615  0.34
Rabcewiczowa 1932   55  0.5361  0.0078  0.0359  0.0353  0.0481  0.03
Rachmaninoff 1923   24  0.6173  0.0031  0.0530  0.1839  0.1330  0.15
Rangell 2001   75  0.4860  0.0055  0.0366  0.0337  0.1857  0.07
Richter 1976   49  0.5535  0.0040  0.0637  0.1218  0.3825  0.21
Rosen 1989   37  0.5974  0.0044  0.0444  0.0758  0.0463  0.05
Rosenthal 1930   47  0.5510  0.0242  0.0443  0.0725  0.2733  0.14
Rosenthal 1931   59  0.525  0.0427  0.0540  0.0925  0.3626  0.18
Rosenthal 1931b   63  0.5115  0.0156  0.0374  0.0321  0.3345  0.10
Rosenthal 1931c   72  0.4914  0.0158  0.0449  0.0434  0.2149  0.09
Rosenthal 1931d   71  0.499  0.0257  0.0454  0.0424  0.2644  0.10
Rossi 2007   77  0.4832  0.0075  0.0382  0.0355  0.0567  0.04
Rubinstein 1939   81  0.4269  0.0082  0.0369  0.0345  0.0761  0.05
Rubinstein 1952   87  0.2450  0.0087  0.0376  0.0362  0.0576  0.04
Rubinstein 1966   54  0.5313  0.0180  0.0358  0.0369  0.0486  0.03
Schilhawsky 1960   23  0.627  0.0413  0.1116  0.3437  0.2519  0.29
Shebanova 2002   56  0.5290  0.0079  0.0547  0.0545  0.0860  0.06
Smith 1975   3  0.7247  0.009  0.1810  0.4611  0.468  0.46
Sokolov 2002   15  0.6663  0.0011  0.149  0.4614  0.4410  0.45
Sztompka 1959   21  0.6343  0.0032  0.0626  0.2146  0.0835  0.13
Tomsic 1995   70  0.4920  0.0171  0.0453  0.0437  0.1946  0.09
Uninsky 1932   61  0.5168  0.0060  0.0381  0.0367  0.0572  0.04
Uninsky 1971   58  0.5233  0.0035  0.0635  0.1338  0.1731  0.15
Wasowski 1980   27  0.6159  0.0030  0.0525  0.2219  0.2823  0.25
Zak 1937   62  0.5182  0.0066  0.0375  0.0378  0.0482  0.03
Zak 1951   67  0.5084  0.0038  0.0534  0.1457  0.0551  0.08
Random 1   90  -0.1686  0.0090  0.0190  0.0168  0.0390  0.02
Random 2   89  -0.1283  0.0089  0.0289  0.0279  0.0289  0.02
Random 3   88  0.0634  0.0088  0.0285  0.028  0.4743  0.10

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).