Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6967  0.0016  0.086  0.5138  0.2313  0.34
Anderszewski 2003   50  0.5826  0.0045  0.0445  0.0843  0.0757  0.07
Ashkenazy 1981   59  0.5524  0.0036  0.0542  0.1156  0.0458  0.07
Bacha 2000   73  0.4734  0.0082  0.0458  0.0463  0.0563  0.04
Badura 1965   63  0.5323  0.0057  0.0470  0.0445  0.1061  0.06
Barbosa 1983   86  0.2956  0.0083  0.0388  0.0366  0.0480  0.03
Biret 1990   46  0.5842  0.0050  0.0468  0.0465  0.0573  0.04
Blet 2003   61  0.5480  0.0074  0.0383  0.0381  0.0382  0.03
Block 1995   37  0.6162  0.0034  0.0736  0.1429  0.2628  0.19
Blumental 1952   81  0.3711  0.0223  0.0734  0.1555  0.0453  0.08
Boshniakovich 1969   4  0.725  0.057  0.1114  0.419  0.566  0.48
Brailowsky 1960   56  0.5784  0.0072  0.0462  0.0470  0.0464  0.04
Bunin 1987   52  0.5743  0.0039  0.0543  0.1119  0.4026  0.21
Bunin 1987b   54  0.5719  0.0138  0.0541  0.1117  0.4325  0.22
Chiu 1999   83  0.3775  0.0080  0.0467  0.0477  0.0377  0.03
Cohen 1997   88  0.1447  0.0088  0.0387  0.0379  0.0388  0.03
Cortot 1951   21  0.6533  0.0035  0.0532  0.1916  0.4019  0.28
Csalog 1996   76  0.4065  0.0086  0.0469  0.0482  0.0381  0.03
Czerny 1949   12  0.692  0.154  0.232  0.694  0.621  0.65
Czerny 1990   9  0.7025  0.0014  0.088  0.4832  0.1916  0.30
Duchoud 2007   58  0.5649  0.0054  0.0375  0.0362  0.0485  0.03
Ezaki 2006   7  0.7017  0.015  0.164  0.5817  0.395  0.48
Falvay 1989   62  0.5477  0.0073  0.0373  0.0353  0.0665  0.04
Farrell 1958   45  0.5885  0.0068  0.0471  0.0475  0.0467  0.04
Ferenczy 1958   69  0.4852  0.0081  0.0380  0.0373  0.0384  0.03
Fliere 1977   5  0.7153  0.0021  0.0913  0.4253  0.0433  0.13
Fou 1978   44  0.5944  0.0032  0.0533  0.1760  0.0449  0.08
Francois 1956   35  0.6138  0.0060  0.0374  0.0351  0.0574  0.04
Friedman 1923   82  0.3778  0.0056  0.0381  0.0332  0.2747  0.09
Friedman 1923b   79  0.3788  0.0055  0.0466  0.0432  0.2744  0.10
Friedman 1930   71  0.4768  0.0048  0.0549  0.0532  0.2642  0.11
Garcia 2007   72  0.4758  0.0077  0.0457  0.0471  0.0472  0.04
Garcia 2007b   80  0.3779  0.0078  0.0378  0.0371  0.0490  0.03
Gierzod 1998   11  0.6935  0.0022  0.0916  0.3850  0.0531  0.14
Gornostaeva 1994   2  0.774  0.072  0.177  0.4911  0.514  0.50
Groot 1988   24  0.6473  0.0033  0.0528  0.2339  0.2027  0.21
Harasiewicz 1955   27  0.641  0.291  0.293  0.678  0.472  0.56
Hatto 1993   85  0.3440  0.0052  0.0456  0.0431  0.1946  0.09
Hatto 1997   78  0.3813  0.0149  0.0452  0.0444  0.0960  0.06
Horowitz 1949   14  0.6836  0.009  0.0912  0.4310  0.583  0.50
Indjic 1988   84  0.3666  0.0051  0.0460  0.0435  0.1552  0.08
Kapell 1951   26  0.6450  0.0044  0.0640  0.1252  0.0551  0.08
Kissin 1993   8  0.7027  0.0010  0.099  0.4527  0.2711  0.35
Kushner 1989   17  0.6772  0.0040  0.0439  0.1360  0.0550  0.08
Luisada 1991   66  0.5170  0.0059  0.0379  0.0375  0.0375  0.03
Lushtak 2004   70  0.4854  0.0075  0.0385  0.0385  0.0386  0.03
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   15  0.6846  0.0024  0.0723  0.2831  0.2620  0.27
Magin 1975   23  0.6414  0.0112  0.0918  0.3226  0.2518  0.28
Michalowski 1933   65  0.5222  0.0043  0.0537  0.1340  0.1730  0.15
Milkina 1970   3  0.7421  0.0111  0.1310  0.4331  0.2414  0.32
Mohovich 1999   20  0.6537  0.0027  0.0627  0.2346  0.0832  0.14
Moravec 1969   42  0.596  0.0318  0.0935  0.1524  0.3522  0.23
Morozova 2008   67  0.5139  0.0058  0.0382  0.0372  0.0383  0.03
Neighaus 1950   6  0.7118  0.018  0.085  0.5527  0.289  0.39
Niedzielski 1931   47  0.5815  0.0161  0.0459  0.0451  0.0466  0.04
Ohlsson 1999   41  0.5941  0.0071  0.0647  0.0678  0.0369  0.04
Osinska 1989   18  0.6729  0.0026  0.0621  0.2943  0.1129  0.18
Pachmann 1927   68  0.4974  0.0079  0.0386  0.0351  0.0568  0.04
Paderewski 1930   36  0.6148  0.0041  0.0438  0.1344  0.1039  0.11
Perlemuter 1992   60  0.5487  0.0053  0.0472  0.0472  0.0376  0.03
Pierdomenico 2008   57  0.5676  0.0070  0.0550  0.0544  0.1248  0.08
Poblocka 1999   29  0.6320  0.0142  0.0544  0.1159  0.0555  0.07
Rabcewiczowa 1932   64  0.5283  0.0076  0.0384  0.0356  0.0479  0.03
Rachmaninoff 1923   32  0.6210  0.026  0.1311  0.4318  0.388  0.40
Rangell 2001   19  0.6516  0.0115  0.0820  0.2925  0.3315  0.31
Richter 1976   43  0.5961  0.0046  0.0454  0.0430  0.2643  0.10
Rosen 1989   13  0.6881  0.0025  0.0824  0.2636  0.2024  0.23
Rosenthal 1930   16  0.678  0.0213  0.0815  0.3815  0.477  0.42
Rosenthal 1931   49  0.5890  0.0062  0.0453  0.0423  0.3836  0.12
Rosenthal 1931b   55  0.5786  0.0063  0.0548  0.0520  0.3535  0.13
Rosenthal 1931c   22  0.6530  0.0017  0.0817  0.3318  0.4310  0.38
Rosenthal 1931d   39  0.6055  0.0064  0.0455  0.0419  0.3437  0.12
Rossi 2007   75  0.4031  0.0065  0.0461  0.0422  0.3038  0.11
Rubinstein 1939   87  0.2745  0.0087  0.0377  0.0371  0.0478  0.03
Rubinstein 1952   77  0.3951  0.0085  0.0464  0.0482  0.0389  0.03
Rubinstein 1966   74  0.4469  0.0084  0.0451  0.0463  0.0470  0.04
Schilhawsky 1960   31  0.6282  0.0030  0.0531  0.1949  0.0641  0.11
Shebanova 2002   33  0.6228  0.0069  0.0463  0.0456  0.0571  0.04
Smith 1975   28  0.6359  0.0029  0.0630  0.2269  0.0445  0.09
Sokolov 2002   25  0.6432  0.0028  0.0822  0.2836  0.3017  0.29
Sztompka 1959   30  0.6312  0.0237  0.0529  0.2256  0.0640  0.11
Tomsic 1995   34  0.6157  0.0067  0.0465  0.0443  0.1456  0.07
Uninsky 1932   40  0.609  0.0219  0.0819  0.3128  0.3712  0.34
Uninsky 1971   38  0.607  0.0320  0.1025  0.2435  0.2323  0.23
Wasowski 1980   48  0.5864  0.0066  0.0376  0.0332  0.1654  0.07
Zak 1937   53  0.5763  0.0047  0.0646  0.0649  0.0759  0.06
Zak 1951   51  0.5860  0.0031  0.0526  0.2349  0.0734  0.13
Average   1  0.783  0.123  0.291  0.7145  0.0921  0.25
Random 1   90  -0.1091  0.0089  0.0190  0.0122  0.3662  0.06
Random 2   91  -0.1971  0.0091  0.0191  0.0186  0.0291  0.01
Random 3   89  0.0089  0.0090  0.0289  0.0255  0.0587  0.03

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).