Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.1965  0.0064  0.0660  0.0656  0.0566  0.05
Anderszewski 2003   69  0.1857  0.0072  0.0478  0.0474  0.0471  0.04
Ashkenazy 1981   5  0.505  0.033  0.283  0.7321  0.663  0.69
Bacha 2000   71  0.176  0.0350  0.0754  0.0745  0.1254  0.09
Badura 1965   59  0.2348  0.0067  0.0661  0.0659  0.0467  0.05
Barbosa 1983   58  0.2546  0.0055  0.0658  0.0656  0.0564  0.05
Biret 1990   54  0.2885  0.0057  0.0659  0.0632  0.4543  0.16
Blet 2003   13  0.4649  0.0018  0.1118  0.4716  0.599  0.53
Block 1995   14  0.4615  0.0119  0.1317  0.5028  0.4419  0.47
Blumental 1952   55  0.2633  0.0060  0.0752  0.0739  0.1752  0.11
Boshniakovich 1969   37  0.3658  0.0046  0.0750  0.0741  0.1653  0.11
Brailowsky 1960   76  0.1425  0.0068  0.0669  0.0673  0.0462  0.05
Bunin 1987   43  0.3434  0.0043  0.0642  0.2036  0.2839  0.24
Bunin 1987b   42  0.3436  0.0044  0.0843  0.2036  0.2741  0.23
Chiu 1999   12  0.462  0.222  0.322  0.7512  0.672  0.71
Cohen 1997   72  0.1766  0.0079  0.0383  0.0374  0.0382  0.03
Cortot 1951   78  0.1486  0.0080  0.0382  0.0383  0.0290  0.02
Csalog 1996   3  0.5010  0.015  0.204  0.722  0.771  0.74
Czerny 1949   86  0.0071  0.0087  0.0288  0.0275  0.0477  0.03
Czerny 1990   56  0.2660  0.0056  0.0668  0.0653  0.0759  0.06
Duchoud 2007   35  0.3755  0.0022  0.0821  0.4722  0.4620  0.46
Ezaki 2006   85  0.0279  0.0086  0.0289  0.0290  0.0286  0.02
Falvay 1989   65  0.2123  0.0037  0.0844  0.1843  0.1344  0.15
Farrell 1958   79  0.1272  0.0073  0.0473  0.0480  0.0376  0.03
Ferenczy 1958   89  -0.0180  0.0088  0.0287  0.0274  0.0388  0.02
Fliere 1977   6  0.5016  0.0115  0.0814  0.5339  0.4317  0.48
Fou 1978   60  0.2387  0.0062  0.0756  0.0786  0.0363  0.05
Francois 1956   61  0.2337  0.0069  0.0570  0.0547  0.0761  0.06
Friedman 1923   10  0.4624  0.0010  0.1316  0.5031  0.4916  0.49
Friedman 1923b   7  0.483  0.117  0.1515  0.5130  0.5112  0.51
Friedman 1930   27  0.4232  0.0028  0.1022  0.4633  0.4424  0.45
Garcia 2007   41  0.3461  0.0047  0.0849  0.0844  0.1651  0.11
Garcia 2007b   20  0.444  0.104  0.199  0.607  0.714  0.65
Gierzod 1998   82  0.0767  0.0076  0.0475  0.0475  0.0378  0.03
Gornostaeva 1994   64  0.2235  0.0065  0.0664  0.0658  0.0569  0.05
Groot 1988   2  0.529  0.018  0.157  0.6413  0.547  0.59
Harasiewicz 1955   21  0.4420  0.0017  0.1012  0.5425  0.3825  0.45
Hatto 1993   11  0.4662  0.0013  0.156  0.6623  0.508  0.57
Hatto 1997   51  0.2939  0.0048  0.0848  0.0836  0.2146  0.13
Horowitz 1949   23  0.4353  0.0023  0.1019  0.4724  0.5414  0.50
Indjic 1988   17  0.4529  0.0011  0.135  0.6721  0.566  0.61
Kapell 1951   32  0.3919  0.0034  0.0832  0.3630  0.2835  0.32
Kissin 1993   49  0.3159  0.0054  0.0665  0.0663  0.0658  0.06
Kushner 1989   38  0.3612  0.0114  0.1327  0.4121  0.4627  0.43
Luisada 1991   4  0.507  0.026  0.148  0.6014  0.635  0.61
Lushtak 2004   81  0.0881  0.0084  0.0479  0.0484  0.0280  0.03
Malcuzynski 1961   48  0.3273  0.0051  0.0757  0.0749  0.0756  0.07
Magaloff 1978   24  0.4326  0.0024  0.0730  0.3930  0.3832  0.38
Magin 1975   16  0.4514  0.0120  0.0823  0.4523  0.5613  0.50
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   73  0.168  0.0159  0.0751  0.0740  0.2248  0.12
Mohovich 1999   66  0.1940  0.0070  0.0753  0.0774  0.0368  0.05
Moravec 1969   44  0.3450  0.0042  0.0941  0.2232  0.2540  0.23
Morozova 2008   53  0.2938  0.0038  0.0939  0.2846  0.0745  0.14
Neighaus 1950   36  0.3768  0.0041  0.1040  0.2556  0.0649  0.12
Niedzielski 1931   22  0.4341  0.0027  0.0925  0.4227  0.3630  0.39
Ohlsson 1999   26  0.4252  0.0025  0.0829  0.4034  0.2237  0.30
Osinska 1989   29  0.4013  0.0132  0.0734  0.3527  0.4728  0.41
Pachmann 1927   19  0.4522  0.0021  0.0924  0.4328  0.4822  0.45
Paderewski 1930   28  0.4127  0.0040  0.0938  0.2828  0.4333  0.35
Perlemuter 1992   25  0.4228  0.0036  0.1026  0.4131  0.4921  0.45
Pierdomenico 2008   46  0.3274  0.0052  0.0755  0.0752  0.0657  0.06
Poblocka 1999   33  0.3875  0.0030  0.0931  0.3832  0.3034  0.34
Rabcewiczowa 1932   75  0.1582  0.0081  0.0477  0.0473  0.0375  0.03
Rachmaninoff 1923   45  0.3376  0.0045  0.0845  0.1634  0.2842  0.21
Rangell 2001   77  0.1447  0.0078  0.0572  0.0580  0.0373  0.04
Richter 1976   18  0.4521  0.0026  0.1020  0.4735  0.5215  0.49
Rosen 1989   47  0.3269  0.0053  0.0666  0.0677  0.0372  0.04
Rosenthal 1930   68  0.1984  0.0074  0.0481  0.0478  0.0379  0.03
Rosenthal 1931   87  0.0088  0.0085  0.0385  0.0381  0.0287  0.02
Rosenthal 1931b   84  0.0389  0.0082  0.0480  0.0478  0.0384  0.03
Rosenthal 1931c   80  0.1277  0.0075  0.0476  0.0471  0.0385  0.03
Rosenthal 1931d   83  0.0590  0.0077  0.0474  0.0478  0.0383  0.03
Rossi 2007   70  0.1742  0.0071  0.0667  0.0627  0.2547  0.12
Rubinstein 1939   57  0.2531  0.0058  0.0663  0.0651  0.0855  0.07
Rubinstein 1952   52  0.2944  0.0061  0.0847  0.0861  0.0560  0.06
Rubinstein 1966   62  0.2378  0.0063  0.0662  0.0664  0.0565  0.05
Schilhawsky 1960   34  0.3817  0.0133  0.0736  0.338  0.6223  0.45
Shebanova 2002   9  0.4718  0.019  0.1711  0.5834  0.4611  0.52
Smith 1975   74  0.1551  0.0083  0.0384  0.0380  0.0374  0.03
Sokolov 2002   30  0.4043  0.0035  0.0935  0.3412  0.5526  0.43
Sztompka 1959   31  0.3970  0.0029  0.0928  0.4043  0.1538  0.24
Tomsic 1995   63  0.2364  0.0066  0.0571  0.0584  0.0370  0.04
Uninsky 1932   15  0.4511  0.0112  0.1410  0.5929  0.3918  0.48
Uninsky 1971   50  0.3130  0.0049  0.1046  0.1045  0.1250  0.11
Wasowski 1980   8  0.4854  0.0016  0.1113  0.5327  0.5210  0.52
Zak 1937   39  0.3645  0.0031  0.0833  0.3522  0.4629  0.40
Zak 1951   40  0.3556  0.0039  0.0937  0.3120  0.4931  0.39
Average   1  0.571  0.311  0.301  0.7939  0.1336  0.32
Random 1   88  0.0083  0.0089  0.0386  0.0366  0.0381  0.03
Random 2   91  -0.1291  0.0091  0.0191  0.0190  0.0191  0.01
Random 3   90  -0.0763  0.0090  0.0190  0.0172  0.0389  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).