Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.6727  0.0124  0.0816  0.4010  0.4722  0.43
Anderszewski 2003   69  0.4723  0.0155  0.0461  0.0430  0.2459  0.10
Ashkenazy 1981   19  0.653  0.1010  0.115  0.5311  0.5011  0.51
Bacha 2000   60  0.5077  0.0077  0.0371  0.0334  0.2561  0.09
Badura 1965   57  0.5262  0.0039  0.0835  0.224  0.6130  0.37
Barbosa 1983   72  0.4351  0.0072  0.0377  0.0348  0.0577  0.04
Biret 1990   59  0.5289  0.0076  0.0378  0.0361  0.0487  0.03
Blet 2003   53  0.5441  0.0063  0.0462  0.0442  0.1169  0.07
Block 1995   25  0.6334  0.0030  0.0534  0.237  0.5431  0.35
Blumental 1952   76  0.4029  0.0148  0.0456  0.0420  0.3056  0.11
Boshniakovich 1969   15  0.6617  0.0117  0.0820  0.374  0.6714  0.50
Brailowsky 1960   49  0.5571  0.0068  0.0374  0.0332  0.1867  0.07
Bunin 1987   20  0.6543  0.0031  0.0624  0.368  0.5223  0.43
Bunin 1987b   18  0.6524  0.0132  0.0823  0.368  0.5121  0.43
Chiu 1999   73  0.4354  0.0064  0.0467  0.0442  0.1565  0.08
Cohen 1997   81  0.3042  0.0085  0.0382  0.0369  0.0486  0.03
Cortot 1951   62  0.5060  0.0070  0.0380  0.0331  0.2564  0.09
Csalog 1996   74  0.4258  0.0086  0.0468  0.0457  0.0578  0.04
Czerny 1949   37  0.5930  0.0121  0.0519  0.389  0.6513  0.50
Czerny 1990   9  0.7125  0.019  0.127  0.535  0.597  0.56
Duchoud 2007   58  0.5259  0.0071  0.0286  0.0252  0.0585  0.03
Ezaki 2006   4  0.736  0.064  0.144  0.574  0.653  0.61
Falvay 1989   35  0.6074  0.0036  0.0738  0.1923  0.2740  0.23
Farrell 1958   61  0.5055  0.0080  0.0373  0.0353  0.0482  0.03
Ferenczy 1958   71  0.4356  0.0084  0.0385  0.0353  0.0579  0.04
Fliere 1977   6  0.7212  0.028  0.1110  0.4914  0.5410  0.51
Fou 1978   29  0.6222  0.0119  0.0725  0.3612  0.4824  0.42
Francois 1956   17  0.6537  0.0013  0.0917  0.4010  0.5019  0.45
Friedman 1923   83  0.2775  0.0078  0.0375  0.0319  0.3560  0.10
Friedman 1923b   82  0.2772  0.0079  0.0553  0.0520  0.3550  0.13
Friedman 1930   75  0.4039  0.0059  0.0465  0.0419  0.4548  0.13
Garcia 2007   84  0.2673  0.0083  0.0383  0.0355  0.0580  0.04
Garcia 2007b   86  0.2547  0.0082  0.0384  0.0337  0.2166  0.08
Gierzod 1998   12  0.687  0.0311  0.128  0.511  0.665  0.58
Gornostaeva 1994   7  0.728  0.027  0.1311  0.479  0.589  0.52
Groot 1988   5  0.7328  0.0114  0.0914  0.429  0.4818  0.45
Harasiewicz 1955   39  0.591  0.191  0.193  0.602  0.566  0.58
Hatto 1993   80  0.3676  0.0058  0.0549  0.0566  0.0481  0.04
Hatto 1997   77  0.3911  0.0257  0.0457  0.0474  0.0383  0.03
Horowitz 1949   22  0.6413  0.0118  0.0718  0.395  0.5117  0.45
Indjic 1988   78  0.3853  0.0056  0.0466  0.0455  0.0576  0.04
Kapell 1951   30  0.6252  0.0053  0.0646  0.0639  0.1363  0.09
Kissin 1993   3  0.735  0.073  0.141  0.643  0.681  0.66
Kushner 1989   2  0.7520  0.015  0.166  0.533  0.694  0.60
Luisada 1991   55  0.5380  0.0067  0.0464  0.0460  0.0573  0.04
Lushtak 2004   40  0.5916  0.0135  0.0729  0.2912  0.5028  0.38
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   1  0.792  0.152  0.262  0.642  0.632  0.63
Magin 1975   26  0.634  0.076  0.1213  0.433  0.5812  0.50
Michalowski 1933   79  0.3669  0.0066  0.0372  0.0348  0.0675  0.04
Milkina 1970   24  0.6381  0.0052  0.0647  0.0632  0.2255  0.11
Mohovich 1999   16  0.6678  0.0029  0.0831  0.2715  0.4632  0.35
Moravec 1969   31  0.6157  0.0044  0.0544  0.1018  0.3744  0.19
Morozova 2008   47  0.5635  0.0037  0.0730  0.2716  0.3636  0.31
Neighaus 1950   11  0.7066  0.0015  0.109  0.519  0.578  0.54
Niedzielski 1931   66  0.4821  0.0147  0.0551  0.0526  0.1958  0.10
Ohlsson 1999   23  0.6344  0.0051  0.0455  0.0438  0.1368  0.07
Osinska 1989   42  0.5890  0.0050  0.0552  0.0523  0.2554  0.11
Pachmann 1927   65  0.4883  0.0062  0.0454  0.0426  0.3452  0.12
Paderewski 1930   28  0.6233  0.0043  0.0643  0.1212  0.4341  0.23
Perlemuter 1992   45  0.5732  0.0033  0.0732  0.2618  0.4433  0.34
Pierdomenico 2008   50  0.5467  0.0040  0.0641  0.1413  0.4039  0.24
Poblocka 1999   41  0.5818  0.0149  0.0745  0.0750  0.0570  0.06
Rabcewiczowa 1932   63  0.5084  0.0073  0.0379  0.0329  0.2662  0.09
Rachmaninoff 1923   54  0.5336  0.0026  0.0533  0.2514  0.4334  0.33
Rangell 2001   21  0.6415  0.0120  0.0639  0.1825  0.2843  0.22
Richter 1976   48  0.5619  0.0146  0.0550  0.0526  0.2951  0.12
Rosen 1989   14  0.6663  0.0023  0.0822  0.368  0.5520  0.44
Rosenthal 1930   51  0.5464  0.0060  0.0463  0.0420  0.4646  0.14
Rosenthal 1931   68  0.4788  0.0054  0.0458  0.047  0.5745  0.15
Rosenthal 1931b   70  0.4679  0.0061  0.0459  0.0411  0.4947  0.14
Rosenthal 1931c   33  0.6140  0.0034  0.0728  0.298  0.6126  0.42
Rosenthal 1931d   64  0.4982  0.0065  0.0470  0.0416  0.3853  0.12
Rossi 2007   85  0.2585  0.0074  0.0376  0.0315  0.3557  0.10
Rubinstein 1939   87  0.2386  0.0087  0.0287  0.0280  0.0388  0.02
Rubinstein 1952   52  0.5448  0.0069  0.0381  0.0340  0.1371  0.06
Rubinstein 1966   56  0.5368  0.0075  0.0469  0.0446  0.0772  0.05
Schilhawsky 1960   46  0.5745  0.0041  0.0740  0.1514  0.4338  0.25
Shebanova 2002   32  0.6146  0.0045  0.0548  0.0529  0.3449  0.13
Smith 1975   27  0.6349  0.0022  0.0821  0.3717  0.3829  0.37
Sokolov 2002   10  0.7014  0.0112  0.0815  0.404  0.5216  0.46
Sztompka 1959   34  0.6126  0.0142  0.0542  0.1222  0.4042  0.22
Tomsic 1995   8  0.7265  0.0016  0.1812  0.456  0.5415  0.49
Uninsky 1932   43  0.5731  0.0027  0.0526  0.345  0.5225  0.42
Uninsky 1971   36  0.609  0.0228  0.0736  0.2118  0.4535  0.31
Wasowski 1980   67  0.4850  0.0081  0.0460  0.0465  0.0474  0.04
Zak 1937   44  0.5787  0.0038  0.0637  0.2017  0.4037  0.28
Zak 1951   38  0.5910  0.0225  0.0627  0.3310  0.5127  0.41
Random 1   90  -0.0561  0.0090  0.0190  0.0177  0.0389  0.02
Random 2   89  -0.0138  0.0088  0.0288  0.0247  0.0684  0.03
Random 3   88  0.0370  0.0089  0.0189  0.0154  0.0390  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).