Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.5112  0.0238  0.0836  0.2480  0.0341  0.08
Anderszewski 2003   15  0.5473  0.0030  0.0925  0.3374  0.0337  0.10
Ashkenazy 1981   52  0.4333  0.0065  0.0470  0.0482  0.0383  0.03
Bacha 2000   11  0.5578  0.0022  0.0522  0.3539  0.1314  0.21
Badura 1965   65  0.3960  0.0073  0.0481  0.0482  0.0382  0.03
Barbosa 1983   67  0.3975  0.0047  0.0649  0.0661  0.0551  0.05
Biret 1990   8  0.5562  0.0010  0.168  0.5277  0.0424  0.14
Blet 2003   57  0.4141  0.0055  0.0465  0.0474  0.0376  0.03
Block 1995   70  0.3865  0.0052  0.0651  0.0662  0.0553  0.05
Blumental 1952   4  0.5710  0.029  0.137  0.5270  0.0422  0.14
Boshniakovich 1969   49  0.4423  0.0151  0.0653  0.0681  0.0454  0.05
Brailowsky 1960   72  0.3686  0.0081  0.0387  0.0385  0.0369  0.03
Bunin 1987   86  0.1753  0.0087  0.0479  0.0484  0.0384  0.03
Bunin 1987b   87  0.1754  0.0086  0.0480  0.0481  0.0370  0.03
Chiu 1999   13  0.5451  0.0039  0.0739  0.2170  0.0438  0.09
Cohen 1997   25  0.4925  0.0041  0.0641  0.1525  0.2715  0.20
Cortot 1951   69  0.3863  0.0071  0.0478  0.0443  0.1046  0.06
Csalog 1996   66  0.3916  0.0114  0.1127  0.3234  0.1812  0.24
Czerny 1949   36  0.4634  0.0053  0.0748  0.0780  0.0352  0.05
Czerny 1990   6  0.5642  0.0018  0.0818  0.3973  0.0430  0.12
Duchoud 2007   78  0.3139  0.0078  0.0384  0.0379  0.0380  0.03
Ezaki 2006   3  0.5815  0.0113  0.126  0.5548  0.0617  0.18
Falvay 1989   16  0.5330  0.0016  0.119  0.4826  0.403  0.44
Farrell 1958   5  0.573  0.092  0.213  0.5714  0.501  0.53
Ferenczy 1958   55  0.4282  0.0054  0.0652  0.0676  0.0364  0.04
Fliere 1977   31  0.4843  0.0049  0.0846  0.0885  0.0347  0.05
Fou 1978   9  0.5526  0.0019  0.0815  0.4155  0.0520  0.14
Francois 1956   35  0.4720  0.0126  0.0532  0.2947  0.0627  0.13
Friedman 1923   51  0.4335  0.0068  0.0556  0.0571  0.0556  0.05
Friedman 1923b   48  0.4449  0.0066  0.0462  0.0479  0.0385  0.03
Friedman 1930   47  0.4471  0.0067  0.0463  0.0465  0.0563  0.04
Garcia 2007   14  0.5422  0.0112  0.104  0.5617  0.492  0.52
Garcia 2007b   17  0.526  0.048  0.1010  0.4635  0.238  0.33
Gierzod 1998   20  0.5132  0.0025  0.0620  0.3662  0.0429  0.12
Gornostaeva 1994   23  0.4927  0.0027  0.0529  0.3253  0.0433  0.11
Groot 1988   68  0.3983  0.0048  0.0650  0.0682  0.0455  0.05
Harasiewicz 1955   7  0.557  0.0320  0.0824  0.3367  0.0434  0.11
Hatto 1993   46  0.4587  0.0063  0.0476  0.0479  0.0386  0.03
Hatto 1997   38  0.4688  0.0057  0.0461  0.0481  0.0378  0.03
Horowitz 1949   83  0.2961  0.0084  0.0475  0.0487  0.0271  0.03
Indjic 1988   39  0.4689  0.0060  0.0467  0.0481  0.0375  0.03
Kapell 1951   53  0.4340  0.0024  0.0526  0.3372  0.0432  0.11
Kissin 1993   33  0.4758  0.0036  0.0735  0.2664  0.0436  0.10
Kushner 1989   42  0.4656  0.0040  0.0542  0.1384  0.0248  0.05
Luisada 1991   27  0.4980  0.0037  0.0734  0.2664  0.0531  0.11
Lushtak 2004   54  0.4379  0.0056  0.0557  0.0577  0.0366  0.04
Malcuzynski 1961   18  0.512  0.154  0.155  0.5620  0.354  0.44
Magaloff 1978   29  0.4829  0.0033  0.0730  0.3047  0.0625  0.13
Magin 1975   62  0.4047  0.0050  0.0654  0.0677  0.0359  0.04
Michalowski 1933   81  0.3059  0.0083  0.0469  0.0486  0.0374  0.03
Milkina 1970   2  0.595  0.073  0.242  0.5954  0.0616  0.19
Mohovich 1999   40  0.4636  0.0034  0.0919  0.3763  0.0523  0.14
Moravec 1969   19  0.5118  0.0115  0.1113  0.4421  0.405  0.42
Morozova 2008   58  0.4172  0.0064  0.0464  0.0485  0.0277  0.03
Neighaus 1950   63  0.4076  0.0069  0.0655  0.0687  0.0368  0.04
Niedzielski 1931   37  0.4611  0.0221  0.0623  0.3352  0.0526  0.13
Ohlsson 1999   61  0.4017  0.0159  0.0471  0.0475  0.0460  0.04
Osinska 1989   1  0.611  0.251  0.251  0.6740  0.149  0.31
Pachmann 1927   71  0.3766  0.0082  0.0472  0.0485  0.0273  0.03
Paderewski 1930   24  0.4931  0.0031  0.0733  0.2725  0.3510  0.31
Perlemuter 1992   22  0.5014  0.0142  0.0540  0.1877  0.0342  0.07
Pierdomenico 2008   34  0.479  0.036  0.0817  0.4014  0.456  0.42
Poblocka 1999   84  0.2844  0.0079  0.0468  0.0472  0.0457  0.04
Rabcewiczowa 1932   43  0.4674  0.0043  0.0643  0.1376  0.0443  0.07
Rachmaninoff 1923   28  0.4864  0.0044  0.0644  0.1254  0.0540  0.08
Rangell 2001   64  0.4019  0.0129  0.0731  0.2941  0.1913  0.23
Richter 1976   85  0.2321  0.0185  0.0483  0.0484  0.0272  0.03
Rosen 1989   12  0.5413  0.017  0.0916  0.4160  0.0521  0.14
Rosenthal 1930   82  0.2984  0.0080  0.0385  0.0378  0.0381  0.03
Rosenthal 1931   80  0.3185  0.0077  0.0459  0.0459  0.0461  0.04
Rosenthal 1931b   77  0.3377  0.0075  0.0386  0.0367  0.0487  0.03
Rosenthal 1931c   74  0.3367  0.0070  0.0474  0.0474  0.0388  0.03
Rosenthal 1931d   75  0.3381  0.0076  0.0460  0.0451  0.0567  0.04
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   32  0.4852  0.0023  0.0614  0.4246  0.0619  0.16
Rubinstein 1952   56  0.424  0.075  0.1012  0.4540  0.1611  0.27
Rubinstein 1966   10  0.558  0.0311  0.1211  0.4550  0.0718  0.18
Schilhawsky 1960   73  0.3569  0.0058  0.0466  0.0469  0.0462  0.04
Shebanova 2002   59  0.4068  0.0061  0.0482  0.0487  0.0279  0.03
Smith 1975   44  0.4570  0.0028  0.0537  0.2469  0.0435  0.10
Sokolov 2002   76  0.3338  0.0074  0.0473  0.0464  0.0458  0.04
Sztompka 1959   30  0.4848  0.0035  0.0738  0.2272  0.0439  0.09
Tomsic 1995   50  0.4424  0.0132  0.0728  0.3230  0.357  0.33
Uninsky 1932   60  0.4055  0.0062  0.0477  0.0466  0.0465  0.04
Uninsky 1971   79  0.3137  0.0072  0.0558  0.0570  0.0550  0.05
Wasowski 1980   26  0.4928  0.0017  0.0821  0.3670  0.0428  0.12
Zak 1937   41  0.4650  0.0046  0.0945  0.0979  0.0444  0.06
Zak 1951   45  0.4545  0.0045  0.0747  0.0775  0.0449  0.05
Random 1   90  -0.2090  0.0090  0.0190  0.0187  0.0190  0.01
Random 2   89  -0.1257  0.0089  0.0189  0.0174  0.0389  0.02
Random 3   88  -0.0646  0.0088  0.0288  0.0237  0.1645  0.06

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).